Transistors, the building blocks of modern electronics, are typically made of silicon. Because it’s a semiconductor, this material can control the flow of electricity in a circuit. But silicon has fundamental physical limits that restrict how compact and energy-efficient a transistor can be.

MIT researchers have now replaced silicon with a magnetic semiconductor, creating a magnetic transistor that could enable smaller, faster, and more energy-efficient circuits. The material’s magnetism strongly influences its electronic behavior, leading to more efficient control of the flow of electricity. 

The team used a novel magnetic material and an optimization process that reduces the material’s defects, which boosts the transistor’s performance.

The material’s unique magnetic properties also allow for transistors with built-in memory, which would simplify circuit design and unlock new applications for high-performance electronics.

“People have known about magnets for thousands of years, but there are very limited ways to incorporate magnetism into electronics. We have shown a new way to efficiently utilize magnetism that opens up a lot of possibilities for future applications and research,” says Chung-Tao Chou, an MIT graduate student in the departments of Electrical Engineering and Computer Science (EECS) and Physics, and co-lead author of a paper on this advance.

Chou is joined on the paper by co-lead author Eugene Park, a graduate student in the Department of Materials Science and Engineering (DMSE); Julian Klein, a DMSE research scientist; Josep Ingla-Aynes, a postdoc in the MIT Plasma Science and Fusion Center; Jagadeesh S. Moodera, a senior research scientist in the Department of Physics; and senior authors Frances Ross, TDK Professor in DMSE; and Luqiao Liu, an associate professor in EECS, and a member of the Research Laboratory of Electronics; as well as others at the University of Chemistry and Technology in Prague. The paper appears today in Physical Review Letters.

Overcoming the limits

In an electronic device, silicon semiconductor transistors act like tiny light switches that turn a circuit on and off, or amplify weak signals in a communication system. They do this using a small input voltage.

But a fundamental physical limit of silicon semiconductors prevents a transistor from operating below a certain voltage, which hinders its energy efficiency.

To make more efficient electronics, researchers have spent decades working toward magnetic transistors that utilize electron spin to control the flow of electricity. Electron spin is a fundamental property that enables electrons to behave like tiny magnets.

So far, scientists have mostly been limited to using certain magnetic materials. These lack the favorable electronic properties of semiconductors, constraining device performance.

“In this work, we combine magnetism and semiconductor physics to realize useful spintronic devices,” Liu says.

The researchers replace the silicon in the surface layer of a transistor with chromium sulfur bromide, a two-dimensional material that acts as a magnetic semiconductor.

Due to the material’s structure, researchers can switch between two magnetic states very cleanly. This makes it ideal for use in a transistor that smoothly switches between “on” and “off.”

“One of the biggest challenges we faced was finding the right material. We tried many other materials that didn’t work,” Chou says.

They discovered that changing these magnetic states modifies the material’s electronic properties, enabling low-energy operation. And unlike many other 2D materials, chromium sulfur bromide remains stable in air.

To make a transistor, the researchers pattern electrodes onto a silicon substrate, then carefully align and transfer the 2D material on top. They use tape to pick up a tiny piece of material, only a few tens of nanometers thick, and place it onto the substrate.

“A lot of researchers will use solvents or glue to do the transfer, but transistors require a very clean surface. We eliminate all those risks by simplifying this step,” Chou says.

Leveraging magnetism

This lack of contamination enables their device to outperform existing magnetic transistors. Most others can only create a weak magnetic effect, changing the flow of current by a few percent or less. Their new transistor can switch or amplify the electric current by a factor of 10.

They use an external magnetic field to change the magnetic state of the material, switching the transistor using significantly less energy than would usually be required.

The material also allows them to control the magnetic states with electric current. This is important because engineers cannot apply magnetic fields to individual transistors in an electronic device. They need to control each one electrically.

The material’s magnetic properties could also enable transistors with built-in memory, simplifying the design of logic or memory circuits.

A typical memory device has a magnetic cell to store information and a transistor to read it out. Their method can combine both into one magnetic transistor.

“Now, not only are transistors turning on and off, they are also remembering information. And because we can switch the transistor with greater magnitude, the signal is much stronger so we can read out the information faster, and in a much more reliable way,” Liu says.

Building on this demonstration, the researchers plan to further study the use of electrical current to control the device. They are also working to make their method scalable so they can fabricate arrays of transistors.

This research was supported, in part, by the Semiconductor Research Corporation, the U.S. Defense Advanced Research Projects Agency (DARPA), the U.S. National Science Foundation (NSF), the U.S. Department of Energy, the U.S. Army Research Office, and the Czech Ministry of Education, Youth, and Sports. The work was partially carried out at the MIT.nano facilities.

Among all of the possible chemical compounds, it’s estimated that between 1020 and 1060 may hold potential as small-molecule drugs.

Evaluating each of those compounds experimentally would be far too time-consuming for chemists. So, in recent years, researchers have begun using artificial intelligence to help identify compounds that could make good drug candidates. 

One of those researchers is MIT Associate Professor Connor Coley PhD ’19, the Class of 1957 Career Development Associate Professor with shared appointments in the departments of Chemical Engineering and Electrical Engineering and Computer Science and the MIT Schwarzman College of Computing. His research straddles the line between chemical engineering and computer science, as he develops and deploys computational models to analyze vast numbers of possible chemical compounds, design new compounds, and predict reaction pathways that could generate those compounds. 

“It’s a very general approach that could be applied to any application of organic molecules, but the primary application that we think about is small-molecule drug discovery,” he says.

The intersection of AI and science

Coley’s interest in science runs in the family. In fact, he says, his family includes more scientists than non-scientists, including his father, a radiologist; his mother, who earned a degree in molecular biophysics and biochemistry before going to the MIT Sloan School of Management; and his grandmother, a math professor.

As a high school student in Dublin, Ohio, Coley participated in Science Olympiad competitions and graduated from high school at the age of 16. He then headed to Caltech, where he chose chemical engineering as a major because it offered a way to combine his interests in science and math.

During his undergraduate years, he also pursued an interest in computer science, working in a structural biology lab using the Fortran programming language to help solve the crystal structure of proteins. After graduating from Caltech, he decided to keep going in chemical engineering and came to MIT in 2014 to start a PhD.

Advised by professors Klavs Jensen and William Green, Coley worked on ways to optimize automated chemical reactions. His work focused on combining machine learning and cheminformatics — the application of computation methods to analyze chemical data — to plan reaction pathways that could make new drug molecules. He also worked on designing hardware that could be used to perform those reactions automatically. 

Part of that work was done through a DARPA-funded program called Make-It, which was focused on using machine learning and data science to improve the synthesis of medicines and other useful compounds from simple building blocks.

“That was my real entry point into thinking about cheminformatics, thinking about machine learning, and thinking about how we can use models to understand how different chemicals can be made and what reactions are possible,” Coley says.

Coley began applying for faculty jobs while still a graduate student, and accepted an offer from MIT at age 25. He received a mix of advice for and against taking a job at the same school where he went to graduate school, and eventually decided that a position at MIT was too enticing to turn down.

“MIT is a very special place in terms of the resources and the fluidity across departments. MIT seemed to be doing a really good job supporting the intersection of AI and science, and it was a vibrant ecosystem to stay in,” he says. “The caliber of students, the enthusiasm of the students, and just the incredible strength of collaborations definitely outweighed any potential concerns of staying in the same place.”

Chemistry intuition

Coley deferred the faculty position for one year to do a postdoc at the Broad Institute, where he sought more experience in chemical biology and drug discovery. There, he worked on ways to identify small molecules, from billions of candidates in DNA-encoded libraries, that might have binding interactions with mutated proteins associated with diseases.

After returning to MIT in 2020, he built his lab group with the mission of deploying AI not only to synthesize existing compounds with therapeutic potential, but also to design new molecules with desirable properties and new ways to make them. Over the past few years, his lab has developed a variety of computational approaches to tackle those goals. 

“We try to think about how to best pair a challenge in chemistry with a potential computational solution. And often that pairing motivates the development of new methods,” Coley says. One model his lab has developed, known as ShEPhERD, was trained to evaluate potential new drug molecules based on how they will interact with target proteins, based on the drug molecules’ three-dimensional shapes. This model is now being used by pharmaceutical companies to help them discover new drugs.

“We’re trying to give more of a medicinal chemistry intuition to the generative model, so the model is aware of the right criteria and considerations,” Coley says.

In another project, Coley’s lab developed a generative AI model called FlowER, which can be used to predict the reaction products that will result from combining different chemical inputs. 

In designing that model, the researchers built in an understanding of fundamental physical principles, such as the law of conservation of mass. They also compelled the model to consider the feasibility of the intermediate steps that need to take place on the pathway from reactants to products. These constraints, the researchers found, improved the accuracy of the model’s predictions.

“Thinking about those intermediate steps, the mechanisms involved, and how the reaction evolves is something that chemists do very naturally. It’s how chemistry is taught, but it’s not something that models inherently think about,” Coley says. “We’ve spent a lot of time thinking about how to make sure that our machine-learning models are grounded in an understanding of reaction mechanisms, in the same way an expert chemist would be.”

Students in his lab also work on many different areas related to the optimization of chemical reactions, including computer-aided structure elucidation, laboratory automation, and optimal experimental design.

“Through these many different research threads, we hope to advance the frontier of AI in chemistry,” Coley says.

Justin Solomon, associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS), has been appointed associate dean of engineering education in the MIT School of Engineering, effective July 1.

In this new role, Solomon will focus on advancing innovation in engineering education across the school. He will help shape new pedagogical approaches in the context of an AI-enabled world and will explore experiential, hands-on, and other modes of learning. Working closely with academic departments, Solomon will serve as a thought partner in integrating AI into curricula and will help facilitate interdisciplinary and shared teaching opportunities across departments and other schools. He will also play a key role in helping the school implement relevant recommendations from the Committee on AI Use in Teaching, Learning, and Research Training. 

Solomon will explore opportunities to build industry collaborations, including new models for internships and industry-engaged learning on campus. Collaborating with department heads and the School of Engineering leadership team, he will also support faculty in designing new courses and evolving existing programs to meet emerging opportunities in engineering.

“Justin’s interdisciplinary approach will be especially valuable as we continue to evolve engineering education to meet new opportunities and challenges. His extensive experience applying AI across a wide range of domains will help each academic department thoughtfully integrate AI and new educational models into their curricula,” says Paula T. Hammond, dean of the School of Engineering and Institute Professor. “I look forward to the vision and perspective he will bring to the school’s leadership team.”

A dedicated educator, Solomon has played a central role in shaping computing education at MIT. He is a key contributor to the Common Ground for Computing, where he co-teaches the core class 6.C01 (Modeling with Machine Learning: From Algorithms to Applications) with Regina Barzilay, the Delta Electronics Professor in the MIT Department of Electrical Engineering and Computer Science and affiliate faculty member at the Institute for Medical Engineering and Science. Within EECS, he teaches 6.7350 (Numerical Algorithms for Computing and Machine Learning) as well as 6.8410 (Shape Analysis). He is also the founder of the Summer Geometry Initiative, a six-week program that introduces students to geometry processing through intensive training, collaboration, and research experiences.

Solomon’s dedication to teaching and helping students has been honored with various awards, including the EECS Outstanding Educator Award and the Burgess (1952) and Elizabeth Jamieson Prize for Excellence in Teaching. He is the author of “Numerical Algorithms,” a textbook that presents a modern approach to numerical analysis for computer science students.

Solomon is a principal investigator at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), where he leads the Geometric Data Processing Group. His research sits at the intersection of geometry and computation, with applications spanning computer graphics, autonomous navigation, political redistricting, physical simulation, 3D modeling, and medical imaging. He is also a core faculty member of the MIT-IBM Watson AI Lab, contributing to research that advances the foundations and applications of artificial intelligence.

His scholarly contributions have been recognized with numerous distinctions, including the 2023 Harold E. Edgerton Faculty Achievement Award for exceptional contributions in teaching, research, and service. In 2025, he was named a Schmidt Polymath, supporting interdisciplinary research across areas such as acoustics and climate that rely on large-scale simulation of physical systems.

Solomon joined the MIT faculty in 2016. He previously held an NSF Mathematical Sciences Postdoctoral Research Fellowship in Princeton University’s Program in Applied and Computational Mathematics. He earned his bachelor’s, master’s, and doctoral degrees from Stanford University. While studying at Stanford, he also worked as a research assistant at Pixar Animation Studios.

Urbanization in the Asia-Pacific region of the world is occurring at an alarmingly rapid pace, with more than 2.2 billion people now living in cities in the region, and an additional 1.2 billion projected to migrate to cities by 2050, according to a February 2026 report from the U.N. Economic and Social Commission for Asia and the Pacific, the Asian Development Bank, and the U.N. Development Program.

Such rapid growth places stress on nearly every aspect of urban areas, including housing, drinking water and sewage sources, roads and other transportation modes, and often results in environmental degradation and an increased vulnerability to climate-related disaster. But the situation also presents opportunities for doing things differently by deploying improved urban planning and management approaches, economic development strategies, as well as innovative technologies in real estate development and investment.

With a keen awareness of this ongoing urbanization and the pressures it brings, the MIT Center for Real Estate (CRE) within the MIT School of Architecture and Planning established the MIT Asia Real Estate Initiative (AREI) in 2022. The AREI mission is to serve as a platform for collaborative research, education, and industry engagement that will help urban areas across the Asia-Pacific region and the Gulf Corridor adapt to these ongoing challenges and allow their growing populations to thrive.

The AREI is co-directed by Professor Siqi Zheng, faculty director of the CRE and director of the MIT Sustainable Urbanization Lab, and James Scott MS ’16, a lecturer who is director of industry and professional programs for the CRE and director of the MIT Real Estate Transformation Lab.

“Imagine a region building the equivalent of a Boston every 40 days,” says Zheng, the STL Champion Professor of Urban and Real Estate Sustainability. “Asia is not just urbanizing. It’s redefining city life on a planetary scale.

“Drawing on MIT CRE’s deep roots in the region — more than half of international students in our MSRED program hail from Asia, and we have a robust 40-year alumni network spanning the Asia-Pacific countries and Gulf Corridor countries of West Asia — the AREI will naturally extend MIT’s role as a global convening point for real estate thought leaders.”

The initiative’s work will center on three pillars tailored to Asia’s urban needs: sustainable cities and real estate, urban vibrancy and dynamics, and technology and innovation.

Zheng is a leading scholar of sustainable urban development, real estate markets, and environmental quality, with particular expertise in China and Asia. She currently serves as president of the American Real Estate and Urban Economics Association and is a former president of the Asia Real Estate Society. Her research, which has appeared in leading journals across urban and real estate economics, environmental science, and urban studies, examines the tensions and synergies between fast urbanization and quality of life in cities, and how cities can develop their resilience against future uncertainties. She is now coauthoring a book with Matthew Kahn titled, “The Triumph of Asian Cities: Growth, Risk and Resilience in the 21st Century” (Harvard University Press).

Co-director Scott specializes in technology and innovation in the built environment. While attending MIT as a graduate student, his focus quickly moved in this direction. He has since played a pivotal role in advancing innovation and adoption of technology across some of the largest and most forward-thinking real estate organizations. Much of his work now is in PropTech, an inclusive phrase referring to new technologies in all areas of real estate, including financing, construction, sales, and materials lifespan, among others. His focal areas are Japan, South Korea, the United Arab Emirates, and other West Asian countries.

Scott credits the quick uptake of new PropTech for helping advance the speed of development in these regions.

“The sheer scale and pace of development across the Asia-Pacific and Gulf Corridor regions is extraordinary, from landmark projects like the Burj in Dubai to the transformative mega-developments in Saudi Arabia and the remarkable urban expansion seen in cities like Beijing and Shanghai over the past 10 to 15 years,” Scott says.

“Boston, by contrast, reflects a more incremental but equally important model of urban evolution,” he says. “The difference is not one of ambition, but of tempo and scale, and it underscores the diverse ways cities around the world are driving innovation in the built environment. This also highlights how the AREI can foster two-way learning across different development contexts, creating a platform for shared insights between rapidly evolving markets and more incremental urban ecosystems.”

In addition to its MIT headquarters, the initiative has two regional hubs — one in Tokyo, the other in Dubai, with a third planned for Hong Kong. The hubs will serve as loci for regional research, as well as provide a means of organizing the CRE’s many alumni in these areas for professional opportunities. For this reason, successful alumni have been selected to head each of the hubs.

Taka Kiura MS ’00 is director of the Toyko hub. After working for the global real estate development firm Heitman for more than 20 years, Kiura last year founded Base-K, a real estate and venture capital investment firm. He also is CEO and founder of HyStat, an investment firm that backs and accelerates the adoption of next-generation technologies.

The Dubai Hub is directed by Ocean Saleem Jangda MS ’25, who works on development innovation partnerships at Majid Al Futtaim Properties, one of the largest mixed-use developers in the Gulf Region.

This spring, Zheng is co-taught course 15.S67 (Special Seminar in Management) in the MIT Sloan-CRE Real Estate Lab. The course, co-taught with Hong Ru, a visiting associate professor in the MIT Sloan School of Management, deployed interdisciplinary student teams to work on applied projects, one of which is in Singapore. Zheng also has partnered with MIT International Science and Technology Initiatives, a program under the MIT Center for International Studies, that is offering student internships with the AREI Hong Kong hub next January.

Another of the steps in the directors’ goal of coalescing CRE alumni in these areas will be organized by Ryan Othman, who will return to Saudi Arabia following completion of his master’s this month to launch his real estate development business in mid-sized market residential and industrial projects.

Othman, who also holds a BS in civil engineering and an SM in finance, will lead an MSRED/AREI trek to introduce next year’s MSRED students to alumni and other business and government officials in Saudi Arabia. “The MIT’s master’s in real estate development is the oldest in the country,” he says. “It’s a powerful program with an amazing alumni network, which I’d like to help expand.”

“Asian cities have become the defining arena for global economic growth, environmental change, and human welfare in the 21st century,” Zheng explains. “Their future depends on durable, place-based infrastructure, real estate investments shaped by regional integration, human capital, and how these cities interact with each other and the rest of the world.

“The outcome of this incredible growth will largely determine global living standards and environmental consequences for the remainder of this century. I believe the MIT Asia Real Estate Initiative is a great platform for the MIT community to make its intellectual contribution to these mega-dynamics.” 

Senior MBA student Patrick Yeung came to MIT Sloan School of Management wanting to be surrounded by a community of builders. 

“I come from a consulting background, which has its own strengths and gives you a specific toolkit, but I felt like I was not very technical, and so I wanted to be surrounded and inspired by people who had that knowledge and experience,” he says.

“MIT Sloan’s Sustainability Initiative provides a great platform to help a generalist like myself become more specialized in this space, whether it be the Sustainability lunch series that they run every Thursday, the annual conference that gets organized, or the class catalog that aligns with the Sustainability Certificate.”

Yeung eventually hopes to join a climate tech scale-up to help formalize the business and scale, using what he’s learned at MIT Sloan to make a real impact.

“I've come to appreciate the systems thinking approach to sustainability that MIT Sloan has, especially in the context of the tech and lab-scale tech spinout ecosystem that MIT more broadly has. The technology is obviously an important piece of both climate mitigation and adaptation, but we will also need other techno-economic regime changes to be able to truly change our planet for the better — that takes policy and legal changes, that takes leadership and courage, and ultimately it takes a willingness to fail, over and over, in order to iterate.”

The following photo gallery provides a snapshot of what a typical day for Yeung has been like as an MIT student.

The Haystack 37m Telescope has been a landmark in radio astronomy and radar studies of the solar system since its first light in 1964. Over the following four decades, it supported NASA's Apollo landings on the moon, made planetary radar maps of the surface of Venus, contributed to experimental tests of Einstein's general relativity, supported the development of VLBI, and conducted foundational studies of quasars and star-forming regions. 

Recently, the Haystack 37m Telescope — a 37-meter radio and millimeter-wavelength antenna at MIT Haystack Observatory in Westford, Massachusetts — made its return to front-line astronomical research following an extended period of system upgrades. These observations reconnect this instrument with its long tradition of scientific discovery and open a new chapter.

On Dec. 8, 2025, Haystack scientists observed the supermassive black hole system at the center of the galaxy Messier 87 (M87) using a technique called very long baseline interferometry (VLBI) that links telescopes across continents to achieve extraordinary resolution. These observations mark the return of one of America's most storied radio telescopes to its historical scientific and educational mission.

The observations targeted the powerful jet of energy and matter launched from M87’s central black hole, M87*. This jet, driven by a black hole six-and-a-half billion times the mass of our sun, extends thousands of light years into intergalactic space and is one of the most energetic phenomena in the known universe. 

Previous international campaigns, namely those led by the Event Horizon Telescope, have imaged the black hole's immediate “shadow.” The Haystack 37m Telescope observations, performed in collaboration with the telescopes of the Very Long Baseline Array (VLBA) and the Greenland Telescope (GLT), help to probe the larger-scale structure of the jet, investigating how energy is transported far beyond the black hole's vicinity. Understanding this process is central to explaining how supermassive black holes shape the galaxies that surround them.

“The Haystack 37m Telescope’s exceptional sensitivity enables the intercontinental telescope array to detect faint emission from around the distant M87* black hole,” says Paul Tiede, principal investigator of the M87 study. “In tandem with the GLT and the VLBA, Haystack is helping create the first multifrequency movies of M87*’s faint jet, greatly improving our understanding of black hole physics.”

The upgraded Haystack 37m Telescope opens multiple new lines of research. At MIT, Saverio Cambioni and Richard Teague of the Department of Earth, Atmospheric and Planetary Sciences (EAPS) plan to use the instrument within MIT’s Planetary Defense Project to measure asteroid sizes and shapes, characterizing objects that could pose a hazard to Earth and deepening our understanding of the solar system’s formation. Associate Professor Brett McGuire of the Department of Chemistry plans to search for complex organic molecules in space, work that speaks to the question of how the chemical precursors to life arise.

“We are thrilled to provide the research community with a powerful telescope at a time where few such instruments are available,” says Jens Kauffmann, principal investigator of the Haystack 37m Telescope Astronomy Program, who uses the telescope to study the formation of stars and their planets. “Even more exciting are the prospects this generates for the next generation of astronomers. Hands-on training opportunities on world-class research telescopes have become exceptionally rare worldwide, and now we can offer this singular advanced workforce development program right here in Massachusetts.”

Student involvement with the Haystack 37m Telescope has already resumed: Undergraduate interns at Haystack Observatory played an active role in developing the telescope’s control systems and data analysis algorithms. This work exemplifies Haystack’s role as a hands-on research and training environment where students contribute directly and gain practical experience with a frontline research instrument.

The return to research-focused observations is the result of more than 10 years of careful, sustained work. From 2010 to 2014, the Haystack 37m Telescope underwent a major upgrade and refurbishment that enhanced its ability to observe at millimeter wavelengths. This work was primarily done to improve the antenna’s capability as a space radar. The dish now primarily serves U.S. government agencies in that capability, and astronomy was temporarily a secondary activity. 

But work to restore the telescope's science capability never stopped. Initial support from the National Science Foundation (NSF) in 2015 modernized systems for data analysis and radio signal processing. The first successful engineering-oriented VLBI experiments with the new dish were conducted at the same time. Additional NSF funding in 2019, provided in the context of the Next Generation Event Horizon Telescope (ngEHT) program, enabled a more general and sustained effort to upgrade receiver equipment and computing systems. Support from private donors to Haystack also aided in this longer-term effort.

Several recent developments, particularly in 2025, proved significant. With support from MIT's Jarve Seed Fund for Science Innovation, scientists and engineers removed lingering technical limitations with astronomy systems and expanded the telescope's scientific reach. Other funding for projects led by the Smithsonian Astrophysical Observatory enabled the M87 campaign and commissioning of the next-generation digital back end, a highly advanced signal-processing system developed for the ngEHT. Together, these advances made the December 2025 observations possible. MIT Haystack Observatory is now pursuing support from both private and federal sources for further improvements under the Haystack 37m Telescope Astronomy Program.

“The upgraded Haystack 37m Telescope empowers MIT students and researchers to pursue fundamental questions relating to our origins and our solar system,” says Richard Teague, professor at MIT EAPS. “With privileged access to such a powerful facility, we can undertake ambitious observational programs previously impossible to schedule. This is the beginning of what we expect will be an exciting era of new discoveries with the Haystack 37m Telescope.”

Using a powerful single-molecule imaging method they developed, a research team from the Broad Institute of MIT and Harvard has unveiled a dynamic view of how some cancer-related proteins interact in living cells. 

The technique relies on highly stable nanoparticle probes that brightly illuminate individual molecules for long periods of time. The researchers used their method to observe, for the first time, individual receptors as they move around the cell membrane, attaching to and then letting go of other receptors to alter signaling within the cell.

Described in the journal Cell, the work demonstrates the method’s potential for investigating other receptors and molecules, and for improved drug screening to better understand the effects of therapeutics on living cells.

“With our photostable probes, we can map out the entire lifespan of these molecules in their native environment and see things that have never been observable before,” says study leader Sam Peng, a Broad Institute core institute member and assistant professor of chemistry at MIT.

Molecular movies

Peng’s method solves a problem with existing contrast agents used in single-molecule tracking, such as dyes. Under the laser light that’s used to excite these dyes, they burn out after a few seconds in a phenomenon known as photobleaching, which means that scientists could only use them to take a few snapshots of cell receptors, and not follow them over the entirety of the signaling process.

For a longer and richer view, Peng’s lab developed long-lasting probes, known as upconverting nanoparticles, which emit signals that remain stable under laser excitation. The nanoparticles contain rare-earth ions that continue to luminescence for minutes, hours, and potentially years. In addition, by altering the type and doses of the ions, scientists can engineer probes emitting in many different colors, enabling tracking of many targets in a single experiment.

In the current study, the researchers aimed to uncover new biology by focusing on the EGFR family of cell receptors, which have been linked to several kinds of cancer. They collaborated with EGFR experts Matthew Meyerson and Heidi Greulich of the Broad’s Cancer Program. They knew that EGFR receptors need to pair up, or “dimerize,” in order to initiate signaling within the cell, but they wanted to learn more about the dynamics of these pairings — what the receptors partner with, how long they stay together, and how they find new partners.

For a better and more sustained look at the receptors, the research team customized their upconverting nanoparticles to tag EGFR and related receptors HER2 and HER3, which are linked to cancer, and used them to track the molecules in living human cells.

A new view of protein pairings

In this study, Peng and his team observed that, when activated with a stimulating molecule, EGFR receptors can pair up and stay dimerized for several minutes, something not observable using traditional dyes. Excessive and prolonged dimerization can lead to too much cell growth and cancer.

A microscopy video shows upconverting nanoparticles tagged to EGFR receptors (labeled pink and green), which track individual receptors as they dimerize. Image courtesy of the researchers.

When the EGFR molecules carried cancer-related mutations, the dimers became more stable, with the more stabilizing mutations linked to more potent cancers in people. In addition, the mutated receptors could form stable dimers even without an external stimulus prompting them to dimerize. The finding helps explain how EGFR mutations can lead to uncontrolled cell growth and cancer, and could inform efforts to target this process therapeutically.

The team discovered several other new and surprising details about how HER2 and HER3 form stable pairings with themselves, which helps illuminate the role of these molecules in related cancers.

When the research team tagged all three receptor types in one experiment, they observed a vibrant scene with receptors navigating the cell surface, finding partners, unpairing, and then finding new partners, over and over again.

Beyond shedding light on EGFR biology, the scientists hope that collaborators in other fields will apply their method to ask new scientific questions about other proteins of interest. “We think this technique could be transformative for studying molecular biology, because it enables dynamic biological processes to be observed with high spatiotemporal resolution over unprecedented timescales,” says Peng.

They are also planning to explore the method’s use in studying the mechanism of drug action, to reveal how potential therapeutics alter individual molecules over time. In addition, they will continue to improve their methods, such as making the probes smaller, brighter, and able to emit more colors.

In the aftermath of a devastating earthquake, unpiloted aerial vehicles (UAVs) could fly through a collapsed building to map the scene, giving rescuers information they need to quickly reach survivors. 

But this remains an extremely challenging problem for an autonomous robot, which would need to swiftly adjust its trajectory to avoid sudden obstacles while staying on course.

Researchers from MIT and the University of Pennsylvania developed a new trajectory-planning system that tackles both challenges at once. Their technique enables a UAV to react to obstacles in milliseconds while staying on a smooth flight path that minimizes travel time. 

Their system uses a new mathematical formulation that ensures the robot travels safely to its destination along a feasible path, and that is less computationally intensive than other techniques. In this way, it generates smoother trajectories faster than state-of-the-art methods.

The trajectory planner is also efficient enough for real-time flight using only the robot’s onboard computer and sensors. 

Named MIGHTY, the open-source system does not require proprietary software packages that can cost hundreds of thousands of dollars. It could be more readily deployed in a wider variety of real-world settings.

In addition to search-and-rescue, MIGHTY could be utilized in applications like last-mile delivery in urban spaces, where UAVs need to avoid buildings, wires, and people, or in industrial inspection of complex structures, such as wind turbines.

“MIGHTY achieves comparable or better performance using only open-source tools, which means any researcher, student, or company — anywhere in the world — can use it freely. By removing this cost barrier, MIGHTY helps democratize high-performance trajectory planning and opens the door for a much broader community to build on this work,” says Kota Kondo, an aeronautics and astronautics graduate student and lead author of a paper on this trajectory planner.

Kondo is joined on the paper by Yuwei Wu, a graduate student at the University of Pennsylvania; Vijay Kumar, a professor at UPenn; and senior author Jonathan P. How, a Ford professor of aeronautics and astronautics and a principal investigator in the Laboratory for Information and Decision Systems (LIDS) and the Aerospace Controls Laboratory (ACL) at MIT. The research appears in IEEE Robotics and Automation Letters.

Overcoming trade-offs           

When Kondo was a child, the Fukushima Daiichi nuclear accident occurred following the Great East Japan Earthquake. With school cancelled, Kondo was stuck at home and watched the news every day as workers explored and secured the reactor site. Some workers still had to enter hazardous areas to contain the damage and assess the situation, exposing them to high doses of radioactive material.

“I became passionate about creating autonomous robots that can go into these dynamic and dangerous situations, then come back and report to humans who stay out of harm’s way,” Kondo says.

This task requires a strong trajectory planner, which is software that decides the path a robot should follow to safely get from point A to point B. 

But many existing systems force tradeoffs that limit performance. 

While some commercial systems can rapidly generate smooth trajectories, they can cost hundreds of thousands of dollars. Open-source alternatives often underperform compared to commercial solvers or are difficult to use.      

With MIGHTY, Kondo and his colleagues developed an open-source system that produces high-quality, smooth trajectories while reacting to obstacles in real-time, and which runs fast enough for flight using only onboard components.

To do this, they overcame a key challenge that limits many open-source systems. 

These methods usually estimate how long it will take the robot to get from point A to point B as a first step. From that fixed estimation of travel time, the planner finds the best path to reach the destination.

While using a fixed travel time allows the planner to rapidly generate a trajectory, it has drawbacks. For one, if the UAV must go far out of its way to avoid obstacles, it could be forced to crank up the speed to meet the fixed travel-time budget. This makes it harder to avoid sudden hazards.

A MIGHTY method

Instead, MIGHTY uses a mathematical technique, called a Hermite spline, that optimizes the travel time and flight path together, in a single step, to form a smooth trajectory that can be precisely controlled.

“Optimizing the spatial and temporal components together gets us better results, but now the optimization becomes so much bigger that it is harder to solve in a feasible amount of time,” Kondo says.

The researchers used a clever technique to reduce this computational overhead. 

Instead of generating a trajectory from scratch each time, MIGHTY makes an initial guess of a trajectory. Then it refines the trajectory through an iterative optimization, using a map of the scene generated by the UAV’s lidar sensors.

“We can make a decent guess of what the trajectory should be, which is a lot faster than generating the entire thing from nothing,” Kondo says.

This enables MIGHTY to react in real-time to unknown obstacles while keeping the trajectory smooth and minimizing travel time. The system utilizes the UAV’s onboard components, which is important for applications where a robot might travel far from a base station.

In simulated experiments, MIGHTY needed only about 90 percent of the computation time required by state-of-the-art methods, while safely reaching its destination about 15 percent faster than these approaches. 

When they tested the system on real robots, it reached a speed of 6.7 meters per second while avoiding every obstacle that appeared in its path.

“With MIGHTY, everything is integrated in one piece. It doesn’t need to talk to any other piece of software to get a solution. This helps us be even faster than some of the commercial solvers,” Kondo says.

In the future, the researchers want to enhance MIGHTY so it can be used to control multiple robots at once and conduct more flight experiments in challenging environments. They hope to continue improving the open-source system based on user feedback.

“MIGHTY makes an important contribution to agile robot navigation by revisiting the trajectory representation itself. Hermite splines have already been successfully used in visual simultaneous localization and mapping, and it is nice to see their advantages now being exploited for trajectory planning in mobile robots. By enabling joint optimization of path geometry, timing, velocity, and acceleration while retaining local control of the trajectory, MIGHTY gives robots more freedom to compute fast, dynamically feasible motions in cluttered environments,” says Davide Scaramuzza, professor and director of the Robotics and Perception Group at the University of Zurich, who was not involved with this research.

This research was funded, in part, by the United States Army Research Laboratory and the Defense Science and Technology Agency in Singapore.

The brain’s capacity to use and understand language expands rapidly in the first years of life, as babies start to make sense of the words they hear and eventually begin to piece together sentences of their own. The language-processing parts of the brain that make this possible continue to evolve in older children, as they expand their vocabularies and learn to use language more flexibly. 

MIT brain researchers have captured snapshots of the developing language-processing network in brain scans of hundreds of children and adolescents. Their data, reported May 16 in the journal Nature Communications, show that the network continues to mature, becoming better integrated and increasingly responsive until around age 16. But they also found that a key feature of the adult language network is established early on: its localization in the left side of the brain. 

Language lateralization 

It is well known that using language is mostly the job of the left hemisphere. As adults, we call on the language-processing regions there when we read, write, speak, or listen to others talk. But there was some question as to whether this left lateralization is established early in life, or might instead emerge as the language network matures, with both sides of the brain contributing to language in childhood. 

To find out, researchers needed to see young brains in action — and several MIT labs had collected exactly the right kind of data. Groups led by Evelina Fedorenko, an associate professor of brain and cognitive sciences; John Gabrieli, the Grover Hermann Professor of Health Sciences and Technology; and Rebecca Saxe, the John W. Jarve (1978) Professor of Brain and Cognitive Sciences, teamed up to share brain scans from children, adolescents, and adults and compare how their brains responded to language. Fedorenko, Gabrieli, and Saxe are also investigators at the McGovern Institute for Brain Research. 

In studies aimed at better understanding a variety of cognitive functions and developmental disorders, the three teams had all collected functional MRI data while subjects participated in “language localizer” tasks — an approach the Fedorenko lab developed to map the language-processing network in a person’s brain. By monitoring brain activity with functional MRI as people engage in both language tasks and non-linguistic tasks, researchers can identify parts of the brain that are exclusively dedicated to language processing, whose precise anatomic location varies across individuals. 

To activate the language network, the researchers had children listen to stories inside the MRI scanner. Depending on their age, some heard excerpts of “Alice in Wonderland,” some listened to podcasts and TED talks, and others heard shorter, simpler stories. To watch their brains during a non-linguistic task, the researchers had the children listen to nonsense words. 

Across the data from the three labs, which included children between the ages of 4 and 16, as well as adults for comparison, the team saw clear developmental changes in the brain’s response to language. “The integration of the system — how well different subregions of the system correlated with each other and worked together during language processing — was stronger in older children as compared to younger children,” says Ola Ozernov-Palchik, a research scientist in Gabrieli’s lab and a research assistant professor at Boston University. The system was also more strongly activated by language in older children, which may reflect their growing comprehension of what they hear. 

But strikingly, almost all language processing happened on the left side of the brain, even in the youngest subjects. “From age 4 on, it seems just as lateralized as in an adult,” Gabrieli says. 

Language and developmental disorders 

The researchers say this finding has implications for understanding developmental conditions that impact language, including autism and dyslexia. The right side of the brain frequently gets more involved in language processing in people with these conditions than it does in typically developing children. “Almost every single developmental disorder that’s associated with language has a theory that’s related to language lateralization,” Ozernov-Palchik says. 

The reason for more bilateral language processing in some disorders is debated. One idea has been that some people might use both sides of their brain for language processing because their brains are less mature. If the right side of the brain processes language early in life, scientists had reasoned, it might simply continue to do so for longer in people with autism or dyslexia than it does in neurotypical individuals. But if most people use the left side of their brains for language even when they are young, the difference can’t be attributed to a developmental delay. Other developmental differences might cause bilateral language processing instead. 

The researchers don’t have the full picture yet; they still need to know what parts of the brain process language in children younger than 4. Likewise, they would like to know what the brain areas that become the language network are doing in the first months of life, when infants aren’t using language yet. They are eager to find out, both to understand fundamentals of brain development and to shed light on developmental disorders. “I think understanding that normal trajectory is really critical for interpreting what a deviation from that trajectory is,” says Amanda O’Brien, a former graduate student in Gabrieli’s lab who is now a postdoc at Harvard University. 

One reason people thought lateralization might develop gradually is because damage to the left hemisphere of the brain impacts language abilities differently, depending on when it occurs. “If you have damage to the left hemisphere as an adult, you’re very likely to end up with some form of aphasia, at least temporarily,” Fedorenko explains. “But a lot of the time, with early damage to the left hemisphere, you grow up and you’re totally fine. The language can just develop in the right hemisphere.” 

Some scientists suspected that the right side of the brain was able to take over language processing in children who suffered early-life brain damage because it was already participating in this function at the time. But the team’s findings suggest the developing brain may be nimbler than that. “Our data tell you that this early plasticity apparently happens in spite of the fact that by age 4, we see these very strongly lateralized responses already,” Fedorenko says.

In 2001, at the dawn of the digital age, MIT made a bold decision: to open its curriculum to the world. Through MIT OpenCourseWare — now part of MIT Open Learning — the Institute began sharing materials from nearly all of its courses online for free.  

A quarter of a century later, that decision has impacted the lives of more than 500 million people across the world who have used OpenCourseWare’s resources to expand their knowledge and develop new skills. 

“When MIT opens its doors, the world walks in,” said Dimitris Bertsimas, vice provost for open learning, at OpenCourseWare’s recent 25th Anniversary Symposium. “Twenty-five years ago, MIT made a bet on openness, generosity, and on the belief that knowledge is a public good. That bet has paid off 500 million times over.”

The impact of that bet took center stage as nearly 200 people gathered on campus for the symposium on April 8. The daylong celebration brought together faculty and staff, OpenCourseWare learners and educators, new and early funders of the program, MIT President Sally Kornbluth, Bertsimas, and others to reflect on OpenCourseWare’s global impact and the future of free and open education. 

The occasion also marked the premiere of “The Courage to Be Open: MIT OpenCourseWare and the Democratization of Knowledge.” Produced by MIT Open Learning’s Emmy Award-winning video team, the short documentary explores the origin, influence, and global reach of OpenCourseWare.

Initially announced as a 10-year initiative, MIT OpenCourseWare now offers more than 2,500 courses that span the undergraduate and graduate curriculum. Learners can freely access lecture notes, syllabi, problem sets, exams, and video lectures through the MIT Learn platform, the OpenCourseWare website, and its YouTube channel, which has grown into the platform’s most popular higher education channel with more than 6 million subscribers. To extend that reach even further, the OpenCourseWare Mirror Site Program provides free copies of course content on hard drives to educational organizations with limited or costly internet access.

From an idea to a global movement

In launching OpenCourseWare, MIT sparked a global movement, inspiring other universities to create their own open course initiatives and solidifying grassroots open education efforts into worldwide communities like OE Global. “Today, [OpenCourseWare] is cited in national education strategies, by nonprofit initiatives, and by international development programs — proof that openness scales when you lead with vision and courage,” Kornbluth said.

That impact lives on in the learners who turn to the Institute’s free course materials every day — from a community college student in Boston to a teenager in Australia to medical students in Turkey. OpenCourseWare has expanded the reach of MIT’s life-changing knowledge to nearly every corner of the world and opened doors to learners of all ages and backgrounds.

For many, that access is transformative. High school senior Hinata Yamahara and Andrea Henshall, a veteran of the United States Air Force, shared how OpenCourseWare helped fuel their curiosity, support their studies, and advance their goals.

“OpenCourseWare [reduces] the barrier to entry to more specialized topics,” said Yamahara, who discovered the resources while exploring an interest in urban planning, and now credits an MIT workshop with helping him pass the Federal Aviation Administration’s Private Pilot Knowledge Test.

From access to agency

What emerges across stories is that MIT’s decision to give away its course materials exemplified its mission to advance knowledge in service of the nation and the world. Openness, noted speakers, is part of the Institute’s DNA. “It’s written into our values,” said Chris Bourg, director of libraries at MIT, where she is also the founding director of the Center for Research on Equitable and Open Scholarship (CREOS).

Those values have also drawn thousands of supporters — from alumni and individual learners to businesses and the world’s leading philanthropic foundations — to help underwrite the initiative, and Open Learning more generally.

By making course materials not only free, but open, the Institute enables anyone to download, copy, modify, reuse, remix, and redistribute its resources for educational, non-commercial uses. “Access is powerful and absolutely necessary,” said Curt Newton, director of OpenCourseWare. “But openness goes further. It invites participation.”

For educators like Elizabeth Siler, a professor at Worcester State University in the department of business administration and economics, and Victor Odumuyiwa, an associate professor in computer science at the University of Lagos, OpenCourseWare offers a window into how MIT designs learning experiences and a foundation to bring those approaches into their own classrooms.

“I applied the same approach back home and, sincerely, I’ve gotten a lot of positive feedback from people getting jobs in global companies after taking the course that I designed,” Odumuyiwa said. 

For faculty on MIT’s campus, OpenCourseWare has also been transformative, fostering interdisciplinary collaborations and innovative uses of digital educational tools. Referencing the United Nations Sustainable Development Goals, Christopher Capozzola, the Elting E. Morison Professor of History at MIT, pointed to quality education (goal 4), reduced inequalities (goal 10), and peace, justice, and strong institutions (goal 16) as a guiding equation for open education. “I believe that MIT, through OpenCourseWare and all of our open education initiatives, has committed to solving that problem,” he said. “I just wanted to roll up my sleeves and be part of that.”

A new era for open education

If the rise of the internet in the early 2000s catalyzed MIT’s decision to “open its doors to the world without requiring a key,” said Kornbluth, artificial intelligence now presents a new moment to lead.

Building on that legacy, MIT Open Learning is leading the way with the launch of MIT Learn, an AI-enabled hub for the Institute’s non-degree learning opportunities. The platform brings together innovations like AskTIM — an AI assistant that helps learners discover relevant offerings and, in select offerings, enhances understanding with guided support — and new self-paced, modular online learning experiences that prepare learners to take on complex global challenges, including AI and climate. Together, these advances move MIT closer to a future of truly personalized education at global scale, grounded in faculty expertise and research.

“Sometime in the next five years, I’m looking for a moment that rhymes with what happened in 2001,” Newton said.

With the launch of MIT Learn and Open Learning’s goal of reaching 1 billion learners in the next decade, that next chapter is already taking shape.

“The future of open learning is bright, and belongs to all of us,” Bertsimas said.

A startup making emergency housing cheaper and faster to deploy won this year’s MIT $100K Entrepreneurship Competition on May 12.

Uplift Microhome is building reusable, modular housing units to provide housing on demand to people affected by natural disasters and other emergencies. Each of the company’s homes has its own batteries and water reservoir, allowing them to quickly be transported and placed off-grid.

“Every year, millions of Americans are displaced by natural disasters,” said co-founder Charlie Nitschelm, who is in MIT’s Leaders for Global Operations program, earning a master’s in engineering and an MBA. “If they're lucky, they can stay with friends or family. If they’re not so lucky, they could end up in a homeless shelter. But disasters aren’t just two-week problems. It takes months, sometimes years, to get back to what life was like before. Bottom line: We lack dignified and affordable housing after disasters.”

Uplift Microhome was one of seven teams chosen to pitch at the final event, which took place inside a packed Kresge Auditorium. Each team got five minutes to pitch their startups before a few minutes of questioning from judges.

This year’s competition started in April with more than 80 applications. The program’s judges selected 16 teams to compete in the semifinal before whittling that number down to the finalist teams for Tuesday’s event.

“This competition isn’t just about one big night,” $100K managing director and MIT Sloan School of Management student Celine Christory said. “It’s a year-long journey for our organizers and students. It kicks off with the ‘Pitch’ event in December, moves to ‘Accelerate’ in March, and culminates in the ‘Launch’ event.”

In the pitch that won the $100,000 Danny Lewin Grand Prize, Nitschelm said it takes an average of four months for the U.S. Federal Emergency Management Agency (FEMA) to deploy single-use housing after a disaster. That’s because these homes require power and utilities in addition to extensive foundation preparation.

“As a result, less than 1 percent of survivors actually receive a physical home,” Nitschelm said. “The rest get a check and are told to go figure it out. This isn’t just our opinion. The Department of Homeland Security audited FEMA and recommended providing a cost-effective housing alternative that allows disaster survivors to stay close to their home.”

Uplift’s homes can be transported on the back of a tractor trailer and deployed using a standard forklift. In addition to its battery and water reservoir, the homes feature self-leveling bases that allow them to be deployed on uneven terrain.

“That dramatically simplifies delivery, installation, and deactivation to the point where you can economically recover, refurbish, and redeploy the unit,” says co-founder Trevor O’Leary, a student at Harvard Business School.

The company has already built a home and believes it can manufacture each unit at a cost similar to the cheapest tractor trailer while delivering housing in hours. The company expects the marginal cost of reusing each unit to be an order of magnitude less expensive than current solutions. Down the line, it plans to deploy homes to combat housing insecurity, for seasonal workers and during construction projects. It plans to manufacture its homes in the United States.

The second-place $50,000 David T. Morgenthaler Founder’s Prize was awarded to the startup Mohan, which is using generative artificial intelligence to map the Earth’s subsurface in three dimensions. The company is deploying its technology to help mining companies decide where to drill, starting by targeting copper deposits.

“Everyone is talking about AI and chips, but no one is talking about what they sit on: copper,” said co-founder Hongze Bo, a PhD student in MIT’s Department of Earth, Atmospheric and Planetary Sciences. “Every cable, GPU, and data center depends on copper. By 2030, we’re going to be 4 million tons of copper short. But we don't know where the next deposit is. Today we just drill and hope.”

The core of Mohan’s technology is a diffusion AI model that iteratively removes noise from subsurface data to create underground scans. The company also develops its own subsurface data.

“We built a full, 3D subsurface model using generative AI,” explained Bo. “It’s the same technology behind [image generation tools] Sora and Midjourney.”

The third place $5,000 prize went to Iceberg Systems, which is using autonomous AI agents to predict how risk cascades across the economy. The company invented a new class of AI systems at MIT that coordinates millions of AIs to simulate how risks emerge through interaction. It has been working with the Department of Energy.

“Iceberg simulates behaviors across millions of market participants, from brokers to consumers to institutions, to simulate and predict how shocks cascade through their interactions and create systemic risk in the economy,” says co-founder and MIT PhD student Ayush Chopra.

The $5,000 Audience Choice Prize went to Pixology, an agentic AI platform that creates on-brand, sponsor-ready sports content to help monetize live moments.

The other finalists that presented at this year’s event were:

• NeuralPhysics, which is building foundation physics models and agents for hardware design simulation and manufacturing;
• DesignFlownAI, a design intelligence app embedded in computer-aided design software to give engineers insights in real time; and
• Auto Lab, an autonomous AI platform that helps teams build better models faster. 

The $100K Entrepreneurship Competition is one of MIT’s annual flagship entrepreneurial events. It began more than 30 years ago when a group of students, along with the late Ed Roberts, who was the founder and chair of the Martin Trust Center for MIT Entrepreneurship, decided to start a startup pitch competition.

The prize started at $10,000 then grew to $50,000 before reaching today’s $100,000 grand prize. Past participants include HubSpot, Akamai, and Lightmatter.

In addition to the prizes, teams received mentorship from venture capitalists, serial entrepreneurs, corporate executives, and attorneys; funding for prototypes; business plan feedback; and more.

MIT graduate students are working with leaders from the Ukrainian city of Vinnytsia to explore strategies for economic development, infrastructure, and innovation during wartime conditions.

As part of the MIT Department of Urban Studies and Planning (DUSP) spring course 11.S941 (Innovating in Ukraine), DUSP hosted a delegation of five Ukrainian leaders from Vinnytsia, a city region of 400,000 people located approximately 280 kilometers from Kyiv in central Ukraine. The course, taught by professor of the practice Elisabeth Reynolds, is a practicum in which students work with a “client” for the semester on specific projects or issues the city would like to address and provide a final report or deliverable.

The city of Vinnytsia, which had two representatives on the trip, has focused on building out its “innovation ecosystem” across key parts of its economy. Amid the ongoing war with Russia, the country has accelerated its long-time expertise in information technology in both civilian and military contexts. Examples include the digitalization of government services, such that many services are accessible by cellphone through the e-governance app Diia, as well as the development of a rapidly evolving drone industry.

The 13 graduate students, who draw from the School of Architecture and Planning and the MIT Sloan School of Management, as well as Harvard University’s Kennedy School and Graduate School of Design, have worked with members of the city government and Vinnytsia National Technical University on a range of projects focused on the city’s future growth. The projects include developing an agro-food cluster to facilitate Ukraine’s integration into the European Union; transportation and logistics to support economic growth in the city and enhance its role as a regional hub; improving the city’s and country’s electronic waste management; and developing the city’s creative and entrepreneurial talent to retain and attract workers.

While in Cambridge for the week, the visitors and students toured a number of places and organizations that engage in innovation. A trip to Boston City Hall to meet with Kairos Shen, Boston’s chief city planner and a former professor of the practice at the MIT Center for Real Estate, highlighted the ways in which the built environment can facilitate activities and interactions to foster a more innovative city. Tours of the Cambridge Innovation Center in Kendall Square, Greentown Labs in Somerville, and MassChallenge in Boston provided examples of the myriad ways the region supports entrepreneurs through shared workspace, incubators, and network development.

“We are very interested in partnering with some of these organizations,” said Dmitry Sofyna, CEO and co-founder of WINSTARS.AI, an R&D center in Ukraine focused on AI applications. “We want to transform Ukraine from a major player in engineering and scientific outsourcing into a hub for creating large-scale tech companies in defense, medicine, and energy.” Vinnytsia is currently building Crystal Technology Park, one of the largest technology parks in Ukraine.

Usually during a practicum, students travel to the host location to spend a week during Independent Activities Period (IAP) or spring break learning about the city or region. In the case of the collaboration with Vinnytsia — an outgrowth of the MIT-Ukraine initiative and the Ukraine Community Recovery Academy, with which DUSP has been working for two years — the students are unable to travel to Ukraine due to the war. With the help of a generous alumnus, DUSP instead brought the Ukrainian delegation to Cambridge so that there could be in-person exchange between the students and the Vinnytsia partners.

“It’s been an amazing trip,” said Yanna Chaikovska, director of Vinnytsia’s Institute for Urban Development. “We are planning for the future because that is what we must do. Ukraine has faced many challenges in the past and always worked in small and big ways to move forward. MIT is helping us do this.”

Nick Durham, a joint DUSP/MIT Sloan master’s student, added: “I am continually inspired by the resilience of the Ukrainian people and how they are finding creative ways to build a better future. In many ways, Ukrainian innovation is serving as a model for reimagining industries and complex economic systems.”

The collaboration reflects a broader effort within DUSP to engage with cities facing complex economic and geopolitical challenges through applied, practice-based research. Hashim Sarkis, dean of the School of Architecture and Planning, spoke of this effort during a panel discussion with the Ukrainian visitors, noting that “with so much conflict in the world today, SA+P must create new ways to help cities rebuild, whether in Ukraine or elsewhere.” 

That there is tremendous potential for nanotechnology to transform cancer detection and treatment is a vision that has guided faculty at the Marble Center for Cancer Nanomedicine through its first 10 years. 

On April 9, the center gathered researchers, entrepreneurs, clinicians, industry collaborators, and members of the public at the Broad Institute of MIT and Harvard and the Koch Institute for Integrative Cancer Research galleries to celebrate a milestone anniversary and reflect on its journey.

“Our purpose has always been clear: to empower discovery and community in nanomedicine at MIT,” said Sangeeta Bhatia, faculty director at the Marble Center for Cancer Nanomedicine and the John J. and Dorothy Wilson Professor of Health Sciences and Technology and Electrical Engineering and Computer Science at MIT.

“A decade in, we are seeing that vision materialize not just in publications, but in our community, our startups, and ultimately, in patients whose lives are being changed,” Bhatia told an audience of about 150 gathered in person for the celebration.

The event featured an overview of the Marble Center by Bhatia and a perspective on nanomedicine by Robert S. Langer, the David H. Koch (1962) Institute Professor and faculty member at the Marble Center. 

A panel on translational nanomedicine followed the talks. It was moderated by Susan Hockfield, president emerita and professor of neuroscience at MIT, and included Noor Jailkhani, former MIT postdoc in the laboratory of the late MIT professor of biology Richard Hynes and CEO, co-founder and president of Matrisome Bio; Peter DeMuth ’13, chief scientific officer at Elicio Therapeutics; Vadim Dudkin, founding chief technology officer at Soufflé Therapeutics; and Viktor Adalsteinsson ’15, co-founder of Amplifyer Bio and director of the Gerstner Center for Cancer Diagnostics at the Broad Institute.

A decade of impact in nanomedicine

Established in 2016 through a generous gift from Kathy and Curt Marble ’63, the Marble Center brings together leading Koch Institute faculty members and their teams to focus on grand challenges in cancer detection, treatment, and monitoring through miniaturization and convergence — the blending of the life and physical sciences with engineering, a core concept fueling multidisciplinary research at the Koch Institute. 

At the center’s founding, Bhatia and Langer were joined by five additional faculty members: Daniel G. Anderson, professor of chemical engineering and member of the Institute for Medical Engineering and Science; Angela M. Belcher, the James Mason Crafts Professor in the departments of Biological Engineering and Materials Science and Engineering; Michael Birnbaum, professor of biological engineering; Paula T. Hammond, Institute professor and dean of the School of Engineering; and Darrell J. Irvine, who is now professor and vice-chair at the Department of Immunology and Microbiology at the Scripps Research Institute in La Jolla, California.

“Over the past decade, the center and its member laboratories have trained close to 500 researchers. Among them, 109 have become faculty in 79 clinical and research universities. We also have worked in close collaboration with clinical and industry partners to produce the results you are seeing today,” said Tarek Fadel, associate director of the Marble Center and director of strategic alliance at the Koch Institute. 

“Twenty-three startup companies have emerged from Marble Center laboratories during that time with companies such as Cision Vision, Soufflé Therapeutics, Orna Therapeutics, Matrisome Bio, Amplifyer Bio, Gensaic, among several others that hold so much promise for the early detection of disease and drug delivery,” Fadel added.

The Marble Center has launched several topical programs aimed at trainee development and industry engagement. At monthly seminars, trainees at the Marble Center lead an open forum on emerging issues in their fields. The Convergence Scholars Program, which was originally launched in 2017 to further the development of postdocs beyond the laboratory bench, is now a competitive award program offered to postdocs at the Koch Institute. Through an industry affiliate program, the center worked closely with several key players in the field of nanoscience. Industry collaborators mentor trainees and participate as judges in an annual poster symposium. 

More recently, MIT-wide grants have catalyzed new collaborations: In 2023, the Global Oncology in Nanomedicine grant supported a project on leveraging AI-based approaches to speed the development of RNA vaccines and other RNA therapies. The project was led by Giovanni Traverso, the Karl Van Tassel (1925) Career Development Professor and a professor of mechanical engineering.

From lab to clinic: Lessons in nanomedicine translation

Panelists at the anniversary event shared candid reflections on the often messy, but exhilarating process of turning their ideas into commercial technologies. 

DeMuth described how Elicio Therapeutics, whose core technologies originated from his graduate research in Irvine’s group, harnesses the natural power of the lymph nodes to generate enhanced immune responses against tumors. The amphiphile platform uses the body’s natural albumin transport system to “shuttle” medicines into the lymph nodes, boosting immune cell activation. Elicio is now advancing their platform through a Phase 2 trial in pancreatic ductal adenocarcinoma and colorectal cancer.  

Jailkhani co-founded Matrisome Bio with Bhatia and Hynes. Matrisome Bio is pioneering a new class of therapies, small protein binders called nanobodies that deliver potent payloads directly to the extracellular matrix of tumors and metastases while sparing normal tissues. Matrisome Bio is currently testing radioligand modalities with their targeting platform for the treatment of cancer. 

Adalsteinsson co-founded Amplifyer Bio with Bhatia and J. Christopher Love, the Raymond A. (1921) and Helen E. St. Laurent Professor of Chemical Engineering and associate director of the Koch Institute, with the goal of developing priming agents for liquid biopsy. Priming agents injected before a blood draw transiently slow the clearance of cell-free DNA from the bloodstream, thus allowing up to 100-fold more tumor DNA to be recovered for liquid biopsy applications. While injection for medical diagnostics has been done for decades in the context of imaging scans, Amplifyer Bio’s approach would be the first of its kind in the field of liquid biopsy.

Dudkin described Soufflé Therapeutics’ vision to enable targeted delivery with receptor-mediated uptake to any type of cell in the human body. Soufflé Therapeutics is working to engineer cell-specific ligands to deliver siRNA-based medicines that are precise and transferred across the cell membrane to their target, by combining proprietary technologies for identification of cell-specific receptors, ligand optimization, and potent siRNA engineering. 

Panelists stressed that successful translation requires complex choices. While platform technologies can theoretically address many cancer problems, startups must focus on specific indications and clinical modalities to succeed in resource-limited, commercial settings. While the academic lab offers freedom to explore multiple applications, commercialization demands strategic narrowing of scope. 

Reproducibility during scale-up emerged as another critical consideration: Founders building platform companies must demonstrate not only that their technology works, but that their underlying discovery is reproducible and robust enough to support a business. All panelists agreed that thinking about manufacturability early in research, rather than as an afterthought, significantly improves a startup’s path to the clinic. Highlighting tension between selecting cutting-edge approaches and managing their inherent regulatory risks, they recommended minimizing risk by leveraging established processes and chemistries that have already been validated in approved drugs.

Finally, panelists highlighted the importance of institutional collaborations, particularly with centers like the Marble Center for Cancer Nanomedicine. These partnerships offer access to collaborative, mission-driven researchers who can push technological boundaries, while startups maintain focus on narrow clinical applications. Panelists emphasized that faculty collaborators, such as at the Marble Center, often provide “big sky thinking” that explores new directions and applications that complement the company’s core mission.

The next chapter in nanomedicine at MIT

As the Marble Center enters its second decade, the community is focused on expanding collaborations, leveraging advances in computation and other intersecting disciplines, and exploring new disease indications. 

“The next 10 years will be defined by our ability to leverage insights gained at the nanoscale to push the boundaries of precision medicine. The Marble Center is in a unique position to do just that, as we evolve this incredible community at MIT to be a global hub for nanomedicine research,” said Bhatia. 

Bhatia also announced that in June, the Marble Center will launch a new grant, Integrated Nanoscale Sensing, Imaging, and Health Technologies (INSIHT), aimed at advancing new imaging and sensing technologies for precision medicine. 

Similarly, panelists expressed optimism about nanomedicine’s transformative potential, centered on precision medicine. The field, they argued, will focus on minimizing side effects while opening previously unavailable therapeutic windows — enabling treatments that are fundamentally more targeted and effective. This precision could render many currently untreatable diseases manageable, or even curable, while also enabling in some cases the repurposing of drugs that failed in earlier clinical contexts. 

“Ten years ago, Sangeeta, Tyler Jacks, and the Marble Center community had a vision” said Matthew Vander Heiden, director of the Koch Institute and Lester Wolfe (1919) Professor of Molecular Biology. 

“Today, that vision is creating a place where bold ideas turn into transformative advances that can help cancer patients and non-cancer patients as well. It is exciting to see this momentum in nanomedicine at MIT and what will happen in the coming decade.” 

One day after the announcement of a ceasefire between the United States and Iran, the head of the International Energy Agency (IEA) outlined the implications of the war in the Middle East on the global energy system and the world’s economy, offering his expertise to an MIT audience.

“This is the largest energy crisis we’ve ever had in the world,” Fatih Birol, the executive director of the IEA, said at the MIT Energy Initiative’s (MITEI) Earth Day Colloquium on April 8. Birol put the current disruption of the world’s energy markets into historical perspective, shared what he believes will be the long-term impacts of this war — even in the best-case scenario where the ceasefire paves a path toward peace — and emphasized the need to create a more sustainable, resilient system moving forward.

In 1973, and again in 1979, there were oil crises that led the world economy into recession, with many countries — especially those with developing economies — spiraling into debt. More recently, Russia’s invasion of Ukraine led to a natural gas crisis. “The current crisis, the amounts of oil and gas we’ve lost, is bigger than all those three put together,” Birol stated. According to data received two hours before the seminar, Birol confirmed that 80 energy facilities in the Middle East had been damaged, with over one-third of those having been severely damaged.

The IEA has played a significant role in the global response to the war. “Our job is to have a real-world impact,” said Birol. Earlier in the conflict, after making clear to policymakers and members of the press the scale of the problem at hand, the IEA turned to its member countries — which are required to have significant oil stock reserves — to bring their reserves to the market. “Since the disruption was so big, we brought all the countries together, which is not easy,” Birol said. “We released 400 million barrels of oil, which is the highest we have ever done. This calmed markets and put downward pressure on prices.” The IEA also released a suite of recommendations for conserving oil quickly, many of which countries around the world are already implementing, said Birol.

The implications of this crisis are far-reaching, and will vary in severity depending on how long the war lasts and how quickly normal operations resume afterwards — which could take some time, considering the extent of the damage to the Middle East’s energy infrastructure, Birol said.

Birol explained the more immediate impacts of the war on the gas industry. Although the natural gas industry has presented itself as a reliable, affordable, and flexible energy source, Birol highlighted that the two major gas crises in the last four years have brought that assertion into question.

“Is [natural gas] still reliable? Is it still flexible? Is it still affordable? After these two big crises, the natural gas industry needs to work hard to regain its brand,” he said.

Birol also outlined three potential outcomes that this shift may bring to the renewable energy sector. First, there is historical precedent for building up nuclear power plants in response to the oil crises of the 1970s. “Around 45 percent of nuclear power plants operating today were built as a response to those crises,” said Birol. He believes there will be another large push for nuclear power, including small nuclear reactors.

Second, renewables may be the biggest beneficiaries of this situation, he said. “In Europe, after Russia’s invasion of Ukraine, the renewable annual installations increased by a factor of three,” he said.

Third, especially in Asia, we will likely see an increase in the market penetration of electric vehicles, Birol said. This is especially important to note because Asia is the center of current oil demand growth, but the adoption of more electric vehicles could have an impact on that, he suggested. Previous crises have also led to car manufacturers improving the fuel efficiency of their cars.

“The energy security premium will be a factor of the energy trade in the future, in addition to the cost of energy,” said Birol, speaking to the longer-term effects on the global energy market. “Countries will be more careful now with whom they are trading.”

Addressing the current crisis also necessitates changes to our energy system going forward, according to Birol. He explained that the entire global economy is being held hostage by the 50 kilometers of the Strait of Hormuz, which is a critical path not only for oil and gas shipments, but for materials used to make fertilizer, which are needed to feed the world’s population, and materials such as helium, which are needed to manufacture products like cell phones.

“I'm afraid that after this is finished, some of the countries will come back faster because they have stronger financial muscles, better engineering capabilities, and better technologies, whereas other countries will suffer,” he said. “It will be, in my view, not easy for the global economy. I believe who will be suffering under this economic damage will be mainly developing countries.”

The burden on developing countries will not only come in the form of energy prices, but also lasting impacts on fertilizer consumption, food security, and food prices, which Birol emphasized is a global problem. “What should be the response to have a more secure, but also more sustainable, future for everybody?” he asked.

Birol suggested the best possible outcome to the current global energy and economic disruption would be if the ceasefire leads to a peaceful settlement of the war. Still, this “best possible outcome” includes significant risk for much of the world.

If there is a settlement of peace, Birol said he expects oil and the gas production in the region to restart. He noted that there are about 200 fully laden oil tankers and 15 loaded liquid natural gas ships that could leave the Gulf fairly quickly if the Strait of Hormuz fully reopens.

“But I don’t think that in a very short period of time we will go back where we were before the war,” Birol said. “And this may keep the prices at elevated levels. This is surely not good news, especially in the emerging world. I would be surprised if we don’t see significant inflationary pressures in Asian developing countries, in Africa, and in Latin America,” Birol said. “In addition to that, the petrochemical industry, fertilizers, we will discover how important those commodities are for the supply chains we have … I expect a bit of volatility in the markets.”

This speaker series highlights energy experts and leaders at the forefront of the scientific, technological, and policy solutions needed to transform our energy systems. Visit the MIT Energy Initiative’s events page for more information on this and additional events. The series will return this fall.

MIT master’s student Sunshine Jiang ’25 and Rupert Li ’24 are recipients of this year’s Knight-Hennessy Scholarship. Now in its ninth year, the highly competitive scholarship provides up to three years of financial support for graduate studies at Stanford University. 

Sunshine Jiang  ’25

Sunshine Jiang, from Hangzhou, China, graduated from MIT in 2025 with a bachelor’s degree as a double major in physics and electrical engineering and computer science, along with minors in mathematics and economics. She will receive her master of engineering degree this month and will start her PhD in computer science at Stanford School of Engineering this fall. 

Jiang researches embodied artificial intelligence and robotics, developing data-efficient, adaptive systems for general-purpose robots that broaden accessibility. She has presented her research at major conferences, including the Conference on Robot Learning, the International Conference on Robotics and Automation, and the International Conference on Learning Representations. 

Jiang led the development of AI-powered systems that provide access to traditional Chinese art in rural classrooms, founded cross-country programs that expand girls’ access to STEM education, and created a Covid-19 documentary amplifying community voices, which was featured on China Daily.

Rupert Li ’24

Rupert Li, from Portland, Oregon, is currently pursuing a PhD in mathematics at Stanford School of Humanities and Sciences. He graduated from MIT in 2024 with a bachelor’s degree, double majoring in mathematics and computer science, economics, and data science. Along with his bachelor’s degree, he also received a master’s degree in data science. Li then traveled to the United Kingdom as a Marshall Scholar, where he earned a master’s degree in mathematics from the University of Cambridge.

Li’s research interests lie in probability, discrete geometry, and combinatorics. He enjoys serving as a mentor for MIT PRIMES-USA, a high school math research program, and previously served as an advisor for the Duluth REU, an undergraduate math research program. In addition to the Knight-Hennessy Scholarship and the Marshall Scholarship, he has been awarded the Hertz Fellowship, P.D. Soros Fellowship, and the Goldwater Scholarship, and he received honorable mention for the Frank and Brennie Morgan Prize.

MIT class 2.72/2.270 (Elements of Mechanical Design) offers undergraduate and graduate students advanced study of modeling, design, and integration, along with best practices for use of machine elements like bearings, bolts, belts, flexures, and gears.

“[Students] learn how to use basically everything from the MechE undergraduate curriculum to build hardcore advanced machines,” says Martin Culpepper, the Ralph E. and Eloise F. Cross Professor in Manufacturing and professor of mechanical engineering (MechE) at MIT.

The course employs modeling and analysis exercises based on rigorous application of physics, mathematics, and core mechanical engineering principles, which are then reinforced through lab experiences and a mechanical system design project.

Culpepper, known to students and colleagues as Marty, says one of his main goals in the course is to “make students into stronger engineers.” His methods involve a mix of teaching and coaching techniques that push students to explore the bounds of what’s possible. 

“Marty likes to say that ‘as long as something doesn't break the laws of physics, it’s possible. You just have to figure out how to engineer it,’” says Yasin Hamed, a teaching assistant for the course.

For the system design projects, students build a lathe that can meet repeatability, accuracy, and functional requirements, and that can also “pass ‘Marty’s death test,’” says MechE graduate student Sarah Stoops. “What that means practically,” explains fellow graduate student Amber Velez, “is, at the end of class, Marty takes all our lathes and drops them and hits them with a hammer, and if they explode, you don’t pass the class.”

This final test may seem harsh, but it is an important part of the process and helps build to additional, critical skills: resilience and perseverance.

“The students are very resilient. They learn to persevere and take some time to try and figure things out, and through that process … you learn so much,” says Hannah Gazdus, a teaching assistant for the course.

Before the so-called “death test,” students tackle two other challenges: precision and material removal. “All of our lathes are required to cut to within 50 microns of precision,” explains Velez. In the material removal rate competition, teams compete to see who can turn down a piece of stock by one inch the fastest. Velez’s team completed the later task in approximately 27 seconds.

“The core classes are important — things like mechanics, materials, dynamics, controls — but many of them have a degree of abstraction that separates the content within those courses from the mechanical elements that you use in designing an actual machine,” says Hamed. “I feel like this class serves very well to bridge that [and] inspire that confidence as working engineers.”

When Akorfa Dagadu arrived at MIT, she had a solution in mind: a mobile app to improve recycling and environmental engagement in her home country of Ghana. The project, called Ishara, aimed to make it easier for people to participate in local recycling systems while creating economic opportunities.

“I grew up in what people often call the trash capital of Accra,” she recalls. “I thought I knew what would fix it. So [my Ishara co-founders and I] built a solution — an app — behind some desk in a library … We did what I thought was market research, but looking back, we were basically asking people what they thought about our idea instead of asking how things actually worked … Implementation humbled us very quickly.”

On the ground, Dagadu encountered a reality very different than she anticipated.

“Informal networks of waste pickers and aggregators were already doing the work,” she explains. They’d developed a system that was already working, but it was “invisible, undervalued, and excluded from larger recycling conversations.” 

From technical solutions to systems change 

Soon after arriving at MIT, Dagadu discovered the PKG Center for Social Impact as a place that could help her pivot, taking a step back from her technical solution to understand the systemic context of the problem she was trying to solve.

As a first-year student, Dagadu received a PKG Fellowship, which provides funding and mentorship for students to pursue community-engaged research and development. This early support positioned Dagadu to apply to PKG’s IDEAS Social Innovation Incubator to further refine her social enterprise, Ishara. Dagadu was one of few first-year students selected for IDEAS among an applicant pool dominated by MBA and other graduate students. 

“At MIT, there are a lot of opportunities focused on entrepreneurship. But not as many that emphasize how you can do something for the environment or your community,” says Dagadu. IDEAS trains technical founders in systems change for social impact and community-engaged innovation.

Dagadu obtained another PKG Fellowship to iterate on Ishara the following summer, and was accepted to the IDEAS incubator a second time. Eventually, she refined her app from a technical solution the community didn’t need to one that connects existing recycling networks to the broader value chain, in ways that are transparent and fair, using a blockchain-enabled buyback center. 

“The biggest thing PKG has given me is a way of thinking,” Dagadu explains. “The systems thinking mindset really stays with you. You start to see everything as connected. Technical solutions are not just technical; they have social and economic implications. I find myself applying that in all my classes. Whether I am designing a reactor system or working through a materials problem, I am always asking how this fits into the larger system and who it affects.” 

Community-engaged chemical engineering

Dagadu says that “PKG has shaped both how I do research and how I think about it.” She grew to understand the importance of research grounded in local partnerships, and points to her collaboration with Chanja Datti, a recycling company in Nigeria, as a prime example. 

“That collaboration has directly informed my research,” says Dagadu. “What started as a PKG-supported exploration has now grown into a full undergraduate-led research project at MIT, supported by D-Lab, focused on one of the hardest questions in recycling: what to do with multilayer plastic waste.”

“This is where my chemical engineering and materials background comes in,” explains Dagadu, who studies how random heteropolymers can stabilize enzymes for plastic degradation through the Alexander-Katz Lab. “Thinking about polymer structure, processing, and what is actually feasible,” is critical to her work on the ground. “But it is also shaped by everything PKG emphasizes. You cannot separate the material from the system it lives in.”

Dagadu also appreciates the personal community she’s developed through her journey at MIT, especially as her venture evolved and her co-founders stepped away. “I went from being part of a strong team of three to building Ishara largely on my own,” she recalls. “That’s when I understood what people mean by entrepreneurship being lonely. The doubt, the weight of decisions — it became very real, very quickly.”

She drew on relationships developed through PKG and the Kuo Sharper Center for Prosperity and Entrepreneurship, where Dagadu is a student fellow, to ground her and remind her of her personal mission. “It’s not just about having a team,” she realized. “It’s about having a community that can hold you through the moments when things fall apart.” 

The PKG Center’s assistant dean, Alison Hynd, who supported Dagadu through multiple PKG Fellowships, sees Dagadu’s ability to create community as a tremendous asset: “As a first-year student, she came through the door with an intellectual vision and drive to do this work, but at MIT, she’s found her voice to pull other people into it.”

Same question, different scale

Next year, Dagadu will broaden her community still more, as a Schwarzman Scholar at Tsinghua University in Beijing. While the context of her studies will change, her motivation remains the same as when she entered MIT.

“I want to keep asking the same question that’s shaped so much of my work so far,” she says, “not just how we design better materials, but how we design systems where those materials can actually work. That means zooming out and exploring the policy and economics of material flow.” 

Through Ishara, Dagadu’s social enterprise, she’s seen how systems intersect and function on the ground in the case of recycling in Ghana. “Now, I want to understand forces at a much larger scale,” she says, “and I can’t think of a better place to explore this question than in China, the manufacturing hub of the world.”

This week, MIT launches a new initiative — titled Science Is Curiosity on a Mission — to make the case for the long-horizon, curiosity-driven science that has powered generations of American innovation. Through stories of scientists pursuing open-ended questions, the project highlights how fundamental discovery research sparks advances in medicine, technology, national security, and economic growth.

MIT News spoke with Alfred Ironside, the Institute’s vice president for communications, about what inspired the effort, what’s at stake for the U.S. research enterprise, and why curiosity remains one of America’s greatest strengths.

Q: What is “Science Is Curiosity on a Mission,” and why launch it now?

A: Science has been under threat for some time now, and public investment in discovery science has been flagging. We want to remind people in Washington and across the country what curiosity-driven science is all about, and why it matters so much in our individual lives and in the life of the country. 

Science begins with curiosity — someone asking a question and refusing to let it go. History’s most important discoveries did not begin with a commercial objective or a guaranteed outcome. They began because someone wanted to understand how the world works. Think Ben Franklin and his kite: This drive to discover goes back to the beginnings of the United States. 

That’s the story we want to tell, but in today’s terms. We’re spotlighting researchers whose years-long pursuit of core questions has seeded breakthroughs that have changed lives for the better.

We’re launching this storytelling initiative now because public investment is declining, and in all the debates about funding what’s gotten lost is an appreciation for the incredible gifts of curiosity-driven discovery science. 

Over generations, the United States became the world’s scientific leader by investing in research of this kind, especially at universities, where long-term scientific undertakings have time and space to thrive. In turn, those investments have created an extraordinary pipeline of innovation, the envy of the world.

When public investment in basic science falters, the long-term losses start right away — and cascade. Labs close. Young scientists leave the field. Entire avenues of discovery go unexplored. Those losses are not always immediately visible, but eventually we feel them through what’s missing: treatments that never arrive, industries that never emerge, talent that migrates elsewhere.

Other countries understand this. They’re watching us stumble — and they’re growing their research investments aggressively. America’s scientific leadership has been built over decades — and maintaining it requires similar commitment.

It’s important to note that while this initiative to tell the story of discovery science was sparked at MIT, it is not about MIT. We want to spotlight university-based scientists across the country whose work is critical in advancing discovery, educating talent, and fueling innovation that benefits all of us.

Q: Why emphasize the idea of “curiosity”?

A: We start with curiosity for two reasons. First, it’s a human experience we’ve all had, so everyone can relate to it. Everyone knows the feeling of just wanting to know why something happens or how something works. Second, it’s the essential fuel that drives discovery science. 

There’s sometimes a tendency to talk about science in terms of outputs: breakthroughs, startups, commercial applications. Those things matter enormously, but they usually come much later. The beginning is more human. It’s someone wondering why something behaves the way it does, or whether a seemingly impossible problem might have an answer.

Some of the most transformative breakthroughs arose from questions that once appeared disconnected from practical use. MRI technology grew from research on atomic nuclei. The foundations of immunotherapy came from scientists trying to understand how the immune system works. GPS depends on what was once viewed as purely theoretical physics.

Curiosity fuels scientific discovery by pushing people to keep pursuing deep questions because they simply need to know: How does the brain work? How does cancer start? What is the universe made of?

That’s why the second half of the phrase matters: “on a mission.” University researchers are not indulging in idle speculation. They are pursuing knowledge to expand our understanding — and that new knowledge can be the key to startling new solutions.

Universities are uniquely important environments for this work. They bring together people from different disciplines and backgrounds who challenge assumptions and generate new questions. That concentration of talent and openness is extraordinarily productive.

After World War II, the American research university system became one of the most successful engines of discovery in human history. Public investment in university research has helped produce new medicines, computing technologies, communications networks, energy systems, and entire industries that shape modern life.

This effort aims to reconnect all of us with that story.

Q: What’s at stake if the U.S. fails to sustain support for basic research?

A: What’s at stake is not just scientific leadership, but the future pace of American innovation and opportunity.

The innovation pipeline operates across long time horizons. The discoveries powering today’s companies and medical treatments often crystallized 10, 20, or 30 years ago. The breakthroughs that will define the 2040s and 2050s are being explored in laboratories right now.

Basic research is the foundation of that pipeline, and private-sector innovation depends on it. Private investment plays a critical role, but it naturally gravitates toward projects with clearer commercial returns. Public funding supports the earliest, highest-risk stages of inquiry, where outcomes are uncertain but the potential benefit to society is enormous.

If that pipeline dries up, the consequences are stark. Fewer discoveries lead to fewer technologies, startups, and industries. We also risk losing scientific talent to countries that are watching our shifting national priorities — and making larger and more sustained investments in advancing science.

At the same time, there is enormous reason for optimism. The American scientific enterprise remains one of the great achievements of the modern era. It has delivered extraordinary gains in health, prosperity, and quality of life. Millions of people are alive today because of advances rooted in publicly supported research.

This system was built through sustained national commitment across generations. The question now is whether the country will continue investing in curiosity, discovery, and the people pursuing the new knowledge that will allow us to solve the intractable problems of tomorrow.

When curiosity is given room to run, the results can be life-changing for us all.

Since joining the faculty of MIT’s Department of Political Science in 2012, F. Daniel Hidalgo, known to many as “Danny,” has built a reputation as both a meticulous quantitative scholar and one of the department’s most generous and steadfast mentors.

A member of the 2025–27 Committed to Caring cohort, Hidalgo is recognized for a style of mentorship that combines intellectual intensity with humility, approachability, and a willingness to show up for students. A quantitative political scientist whose research focuses on elections, democratic accountability, and political behavior in Brazil and Latin America, his scholarship uses statistical and experimental methods to study how institutions shape political outcomes. According to his students, the rigor he brings to his research is matched by an equally strong commitment to the people he mentors.

Hidalgo’s reputation is illuminated repeatedly in nominations. One student, reflecting on years of mentorship, aptly summed this up by saying, “I have yet to meet a professor that cares more for their students.”

Showing the mess, not just the map

Most MIT political science PhD students encounter Hidalgo in their first year, when he teaches the department’s quantitative methods sequence. For many, the course is a turning point — an introduction to causal inference and the logic of experimentation that reshapes how they think about political science itself.

While the material is demanding, students describe a classroom that feels captivating, rather than intimidating. Even during the height of Covid-19-era Zoom courses, one student reflected on the ways in which Hidalgo “made the class engaging and interesting,” injecting energy into even the most complex statistical concepts. “It is no surprise that for many of us, the final papers we wrote for this class laid the foundation … for our subsequent research trajectories,” the student added.

Hidalgo’s approach to mentorship begins with demystifying research by exposing the process behind final products. If he had to articulate a guiding principle, he says, it would be this: “Show students the mess, not just the map.” Graduate students too often see only the polished journal article, not the abandoned drafts, failed models, or questions that had to be rebuilt from scratch. Hidalgo makes a point of bringing students into that disorganization early, normalizing uncertainty as part of scholarship.

That transparency reshapes both how students conceive of research, and how they intentionally practice it. As one student explained, Hidalgo’s mentorship creates “a space where we can share even our messiest ideas,” knowing they will be met with thoughtful feedback rather than judgment. His classroom and office are often described as rare environments where rigor and creativity coexist without fear.

A boundless capacity for mentorship

It is no secret within the department that Hidalgo advises a large number of students, providing one-on-one mentorship in addition to leading a growing research group. Despite this, students consistently describe weekly meetings where he gives their work his full attention. He reads drafts carefully and responds with detailed, constructive feedback, whether on a fellowship application, a conference paper, or a dissertation chapter.

Hidalgo’s mentorship is not confined to his formal advisees. Students who are not on his committee can still rely on him for advice on quantitative methods, knowing that he will make time for them. Over time, this has earned him a department-wide reputation as approachable, steady, and kind.

His advisees’ research spans the discipline: business politics in China, applied machine learning, nationalism in Europe, and electoral politics in Latin America. As one student put it, mentees are “united not by a single topic, but by [Hidalgo’s] generous and inclusive mentorship.” Although his own scholarship centers on Brazil and Latin America, students say he tackles every project with genuine curiosity and intellectual investment, connecting them to literature they might never have encountered and sharpening their arguments’ credibility.

At an institution where quantitative research is often the default, Hidalgo encourages methodological grounding that goes beyond the dataset. He pushes students to immerse themselves in the contexts they study: spend time in the field, talk to people, and absorb local political realities. Immersion, he argues, does not replace rigorous analysis — it sharpens it.

Building community in a solitary profession

Dissertation work can be isolating. In response, Hidalgo has launched a biweekly research group for his mentees. The group, now more than 10 students strong, meets throughout the semester to workshop ideas at any stage of development.

Students describe it as a rare low-stakes space where early drafts are welcome and half-formed ideas encouraged. Discussions are intellectually demanding, but never hostile. The diversity of projects — across regions, methods, and topics — broadens everyone’s perspective.

Hidalgo’s care for his students also emerges in small but meaningful ways. He brings snacks to meetings, organizes informal gatherings, and creates opportunities for connection beyond formal advising. During the isolation of the Covid-19 pandemic, he engaged students through reading groups and small gatherings. When visiting scholars arrive, he folds them in. When global or personal events weigh heavily, he checks in.

One student recalled the morning after a deeply contentious U.S. presidential election. Rather than proceed as usual, Hidalgo canceled class and invited students to gather in his office. There were pastries and a space to talk — “a small, deeply touching gesture” that made an anxious day more bearable.

Standing by students in moments of uncertainty

Several nominations speak not only to academic mentorship, but to Hidalgo’s response during moments of personal and professional difficulty.

One advisee described hitting a breaking point in their fourth year: stalled research ideas, a failed fieldwork trip, deteriorating mental health, and a departmental warning about insufficient progress. Rather than stepping back, Hidalgo leaned in — helping generate new project ideas, structuring attainable plans, and encouraging another attempt at fieldwork, which ultimately proved successful.

Another student, pursuing an unconventional joint program bridging political science and statistics, described feeling academically isolated. Recognizing that need, Hidalgo helped create a reading group aligned with the student’s interests and encouraged collaboration across departments. As the student recalled, he “[put] the maximum trust in me to make decisions while always giving me the strong feeling that he [had] my back.”

When students choose paths outside academia, Hidalgo is equally supportive — encouraging them to align their research and professional development with their goals, without diminishing the value of their work.

His mentorship leaves a lasting imprint not only on students’ research, but on how they understand what it means to support others in turn. Across these experiences, a consistent theme emerges: Hidalgo challenges students to meet high standards while ensuring they never navigate those expectations alone. 

Elazer R. Edelman ’78, SM ’79, PhD ’84, an engineer and cardiologist who helped develop cardiovascular stents that have been used by more than 100 million people, has been named the recipient of the 2026-2027 James R. Killian Jr. Faculty Achievement Award.

The award committee recognized Edelman, the Edward J. Poitras Professor in Medical Engineering at MIT’s Institute for Medical Engineering and Science, for his work at the interface of engineering, science, and medicine. In addition to his work on stents, he has made significant contributions to tissue engineering and to deciphering the fundamental biological processes underling cardiovascular disease.

A member of the MIT faculty for more than 30 years, Edelman is renowned as a teacher and mentor. He is also a professor of medicine at Harvard Medical School and a critical care cardiologist at Brigham and Women’s Hospital, and he served as director of MIT’s Institute for Medical Engineering and Science from 2018 to 2024.

“He is a clinician of the highest order who has touched the lives of many, a teacher of greatest passion who has mentored hundreds and taught thousands, and an engineer whose work has reached around the globe,” states the award citation, which was presented at today’s faculty meeting by Xuanhe Zhao, chair of the Killian Award Selection Committee and a professor of mechanical engineering at MIT.

The Killian Award was established in 1971 to recognize outstanding professional contributions by MIT faculty members. It is the highest honor that the faculty can give to one of its members.

“It’s deeply meaningful that your colleagues think enough of you to want to recognize your life’s work. This is an incredibly awe-inspiring group, and for them to feel that way is a truly special honor,” Edelman told MIT News after learning that he had been selected for the award.

Edelman, who grew up in Brookline, Massachusetts, got his first MIT experience as a high school student, taking classes as part of the Institute’s High School Studies Program. That experience led him to apply to MIT, where he earned two bachelor’s degrees, in applied biology and electrical engineering and computer science, followed by a master’s in bioelectrical engineering and a PhD in medical engineering and medical physics. He also earned an MD from Harvard Medical School through the Harvard-MIT Program in Health Sciences and Technology.

As a graduate student, Edelman was one of the first students to join the lab of Robert Langer, the David H. Koch Institute Professor at MIT. Working with Langer, he developed mathematical approaches to guide the design of controlled drug-delivery systems.

“Bob opened my eyes to what it really means to use MIT science to make the world a better place,” Edelman says.

Early in his career, Edelman brought a scientist’s eye to one of medicine’s most urgent clinical challenges: how to address diseased blood vessels without provoking further injury. His studies of the cellular and molecular mechanisms of atherosclerosis and vascular healing — work that continues to this day — coupled with fundamental insights from engineering and physics, helped enable the optimization of bare-metal stents and the development of drug-eluting stents. 

Roughly 90 percent of the more than 100 million stents implanted worldwide now release drugs through principles his work helped define and advance, saving countless lives and improving quality of life for patients around the globe.

Edelman’s work reflects a continuing cycle of discovery: Basic insights in biology shaped transformative medical technologies, and the challenges posed by those technologies, in turn, continue to push biology, science, technology, and engineering together toward new discoveries and clinical advances.

“His landmark work on the cellular mechanisms underlying atherosclerosis and on the biology of cell-material interfaces established the scientific foundations that transformed bare-metal cardiovascular stents from a promising mechanical concept into a biologically informed and clinically transformative therapy with enduring legacy — paving the way for a cascade of innovations that changed the landscape of medicine,” the award committee wrote.

More recently, Edelman’s lab has designed novel heart valves and other innovative approaches to mechanical organ support.

During his tenure as the director of IMES, he led an MIT-wide effort to provide personal protective equipment to health care workers and emergency responders in the early stages of the Covid-19 pandemic. 

“One of the things I’m most proud of is working with many people at MIT in the Covid response. At the height of Covid, we were supplying 23 percent of all PPE throughout New England,” he says. “Every single person who could possibly contribute contributed.”

As director of MIT’s Center for Clinical Translational Research and faculty lead for the Hood Pediatric Innovation Hub, he is now working to help clinical research thrive at MIT and to address the inequities in technology access for society’s most vulnerable population — children.

Throughout his career, Edelman has devoted himself to mentoring students and trainees.

“I’m really proud of what our students have accomplished, not only scientifically, but on a personal level, and not only with me, but everything they’ve done afterwards. The greatness of a place like MIT is that you enable people to grow beyond their potential. That’s really the extraordinary thing about our community,” he says.

In recognition of his scientific achievements, Edelman has been elected a fellow of the American College of Cardiology, the American Heart Association, the Association of University Cardiologists, the American Society of Clinical Investigation, American Institute of Medical and Biological Engineering, the American Academy of Arts and Sciences, National Academy of Inventors, the Institute of Medicine/National Academy of Medicine, and the National Academy of Engineering.

“The Selection Committee is delighted to have this opportunity to honor Professor Elazer Edelman for his exceptional contributions to medical engineering and science, to MIT, and to the world,” the award citation concludes.