Among the targets is EPA’s approval of a California rule that would encourage the adoption of electric vehicles.

Audrey Robertson sits on the board of Liberty Energy, the fracking services company founded by Energy Secretary Chris Wright.

It's the Trump administration's latest escalation against the climate fund created by the Democrats' Inflation Reduction Act.

Goals on boosting carbon sequestration, the circular economy, organic farming and reducing the EU’s consumption footprint are most at risk.

The new rules mean clothing companies and manufacturers will have to pay a fee to cover the costs of collection and treatment of textile waste.

An assessment says the country's biggest decarbonization challenge will be electrifying transportation.

The group's goal is to rally the city of London, companies and policymakers to scale funding for decarbonization efforts at home and abroad.

Rain can freefall at speeds of up to 25 miles per hour. If the droplets land in a puddle or pond, they can form a crown-like splash that, with enough force, can dislodge any surface particles and launch them into the air.

Now MIT scientists have taken high-speed videos of droplets splashing into a deep pool, to track how the fluid evolves, above and below the water line, frame by millisecond frame. Their work could help to predict how spashing droplets, such as from rainstorms and irrigation systems, may impact watery surfaces and aerosolize surface particles, such as pollen on puddles or pesticides in agricultural runoff.

The team carried out experiments in which they dispensed water droplets of various sizes and from various heights into a pool of water. Using high-speed imaging, they measured how the liquid pool deformed as the impacting droplet hit the pool’s surface.

Across all their experiments, they observed a common splash evolution: As a droplet hit the pool, it pushed down below the surface to form a “crater,” or cavity. At nearly the same time, a wall of liquid rose above the surface, forming a crown. Interestingly, the team observed that small, secondary droplets were ejected from the crown before the crown reached its maximum height. This entire evolution happens in a fraction of a second.

Scientists have caught snapshots of droplet splashes in the past, such as the famous “Milk Drop Coronet” — a photo of a drop of milk in mid-splash, taken by the late MIT professor Harold “Doc” Edgerton, who invented a photographic technique to capture quickly moving objects.

The new work represents the first time scientists have used such high-speed images to model the entire splash dynamics of a droplet in a deep pool, combining what happens both above and below the surface. The team has used the imaging to gather new data central to build a mathematical model that predicts how a droplet’s shape will morph and merge as it hits a pool’s surface. They plan to use the model as a baseline to explore to what extent a splashing droplet might drag up and launch particles from the water pool.

“Impacts of drops on liquid layers are ubiquitous,” says study author Lydia Bourouiba, a professor in the MIT departments of Civil and Environmental Engineering and Mechanical Engineering, and a core member of the Institute for Medical Engineering and Science (IMES). “Such impacts can produce myriads of secondary droplets that could act as carriers for pathogens, particles, or microbes that are on the surface of impacted pools or contaminated water bodies. This work is key in enabling prediction of droplet size distributions, and potentially also what such drops can carry with them.”

Bourouiba and her mentees have published their results in the Journal of Fluid Mechanics. MIT co-authors include former graduate student Raj Dandekar PhD ’22, postdoc (Eric) Naijian Shen, and student mentee Boris Naar.

Above and below

At MIT, Bourouiba heads up the Fluid Dynamics of Disease Transmission Laboratory, part of the Fluids and Health Network, where she and her team explore the fundamental physics of fluids and droplets in a range of environmental, energy, and health contexts, including disease transmission. For their new study, the team looked to better understand how droplets impact a deep pool — a seemingly simple phenomenon that nevertheless has been tricky to precisely capture and characterize.

Bourouiba notes that there have been recent breakthroughs in modeling the evolution of a splashing droplet below a pool’s surface. As a droplet hits a pool of water, it breaks through the surface and drags air down through the pool to create a short-lived crater. Until now, scientists have focused on the evolution of this underwater cavity, mainly for applications in energy harvesting. What happens above the water, and how a droplet’s crown-like shape evolves with the cavity below, remained less understood.

“The descriptions and understanding of what happens below the surface, and above, have remained very much divorced,” says Bourouiba, who believes such an understanding can help to predict how droplets launch and spread chemicals, particles, and microbes into the air.

Splash in 3D

To study the coupled dynamics between a droplet’s cavity and crown, the team set up an experiment to dispense water droplets into a deep pool. For the purposes of their study, the researchers considered a deep pool to be a body of water that is deep enough that a splashing droplet would remain far away from the pool’s bottom. In these terms, they found that a pool with a depth of at least 20 centimeters was sufficient for their experiments.

They varied each droplet’s size, with an average diameter of about 5 millimeters. They also dispensed droplets from various heights, causing the droplets to hit the pool’s surface at different speeds, which on average was about 5 meters per second. The overall dynamics, Bourouiba says, should be similar to what occurs on the surface of a puddle or pond during an average rainstorm.

“This is capturing the speed at which raindrops fall,” she says. “These wouldn’t be very small, misty drops. This would be rainstorm drops for which one needs an umbrella.”

Using high-speed imaging techniques inspired by Edgerton’s pioneering photography, the team captured videos of pool-splashing droplets, at rates of up to 12,500 frames per second. They then applied in-house imaging processing methods to extract key measurements from the image sequences, such as the changing width and depth of the underwater cavity, and the evolving diameter and height of the rising crown. The researchers also captured especially tricky measurements, of the crown’s wall thickness profile and inner flow — the cylinder that rises out of the pool, just before it forms a rim and points that are characteristic of a crown.

“This cylinder-like wall of rising liquid, and how it evolves in time and space, is at the heart of everything,” Bourouiba says. “It’s what connects the fluid from the pool to what will go into the rim and then be ejected into the air through smaller, secondary droplets.”

The researchers worked the image data into a set of “evolution equations,” or a mathematical model that relates the various properties of an impacting droplet, such as the width of its cavity and the thickness and speed profiles of its crown wall, and how these properties change over time, given a droplet’s starting size and impact speed.

“We now have a closed-form mathematical expression that people can use to see how all these quantities of a splashing droplet change over space and time,” says co-author Shen, who plans, with Bourouiba, to apply the new model to the behavior of secondary droplets and understanding how a splash end-up dispersing particles such as pathogens and pesticides. “This opens up the possibility to study all these problems of splash in 3D, with self-contained closed-formed equations, which was not possible before.”

This research was supported, in part, by the Department of Agriculture-National Institute of Food and Agriculture Specialty Crop Research Initiative; the Richard and Susan Smith Family Foundation; the National Science Foundation; the Centers for Disease Control and Prevention-National Institute for Occupational Safety and Health; Inditex; and the National Institute of Allergy and Infectious Diseases of the National Institutes of Health.

Nature Climate Change, Published online: 21 February 2025; doi:10.1038/s41558-025-02248-7

Using community data of 581 angiosperm and 172 Lepidoptera species, the authors consider the impacts of extreme weather events (EWE) on the timing of life events (phenology). They show high responsiveness of phenology to EWEs and highlight the potential for EWEs to drive phenological mismatches.

As part of a multi-pronged approach toward curbing the effects of greenhouse gas emissions, scientists seek to better understand the impact of rising carbon dioxide (CO2) levels on terrestrial ecosystems, particularly tropical forests. To that end, climate scientist César Terrer, the Class of 1958 Career Development Assistant Professor of Civil and Environmental Engineering (CEE) at MIT, and colleague Josh Fisher of Chapman University are bringing their scientific minds to bear on a unique setting — an active volcano in Costa Rica — as a way to study carbon dioxide emissions and their influence. 

Elevated CO2 levels can lead to a phenomenon known as the CO2 fertilization effect, where plants grow more and absorb greater amounts of carbon, providing a cooling effect. While this effect has the potential to be a natural climate change mitigator, the extent of how much carbon plants can continue to absorb remains uncertain. There are growing concerns from scientists that plants may eventually reach a saturation point, losing their ability to offset increasing atmospheric CO2. Understanding these dynamics is crucial for accurate climate predictions and developing strategies to manage carbon sequestration. Here, Terrer discusses his innovative approach, his motivations for joining the project, and the importance of advancing this research.

Q: Why did you get involved in this line of research, and what makes it unique?

A: Josh Fisher, a climate scientist and long-time collaborator, had the brilliant idea to take advantage of naturally high CO2 levels near active volcanoes to study the fertilization effect in real-world conditions. Conducting such research in dense tropical forests like the Amazon — where the largest uncertainties about CO2 fertilization exist — is challenging. It would require large-scale CO2 tanks and extensive infrastructure to evenly distribute the gas throughout the towering trees and intricate canopy layers — a task that is not only logistically complex, but also highly costly. Our approach allows us to circumvent those obstacles and gather critical data in a way that hasn't been done before.

Josh was looking for an expert in the field of carbon ecology to co-lead and advance this research with him. My expertise of understanding the dynamics that regulate carbon storage in terrestrial ecosystems within the context of climate change made for a natural fit to co-lead and advance this research with him. This field has been central to my research, and was the focus of my PhD thesis.

Our experiments inside the Rincon de la Vieja National Park are particularly exciting because CO2 concentrations in the areas near the volcano are four times higher than the global average. This gives us a rare opportunity to observe how elevated CO2 affects plant biomass in a natural setting — something that has never been attempted at this scale.

Q: How are you measuring CO2 concentrations at the volcano?

A: We have installed a network of 50 sensors in the forest canopy surrounding the volcano. These sensors continuously monitor CO2 levels, allowing us to compare areas with naturally high CO2 emissions from the volcano to control areas with typical atmospheric CO2 concentrations. The sensors are Bluetooth-enabled, requiring us to be in close proximity to retrieve the data. They will remain in place for a full year, capturing a continuous dataset on CO2 fluctuations. Our next data collection trip is scheduled for March, with another planned a year after the initial deployment.

Q: What are the long-term goals of this research?

A: Our primary objective is to determine whether the CO2 fertilization effect can be sustained, or if plants will eventually reach a saturation point, limiting their ability to absorb additional carbon. Understanding this threshold is crucial for improving climate models and carbon mitigation strategies.

To expand the scope of our measurements, we are exploring the use of airborne technologies — such as drones or airplane-mounted sensors — to assess carbon storage across larger areas. This would provide a more comprehensive view of carbon sequestration potential in tropical ecosystems. Ultimately, this research could offer critical insights into the future role of forests in mitigating climate change, helping scientists and policymakers develop more accurate carbon budgets and climate projections. If successful, our approach could pave the way for similar studies in other ecosystems, deepening our understanding of how nature responds to rising CO2 levels.

All biological function is dependent on how different proteins interact with each other. Protein-protein interactions facilitate everything from transcribing DNA and controlling cell division to higher-level functions in complex organisms.

Much remains unclear, however, about how these functions are orchestrated on the molecular level, and how proteins interact with each other — either with other proteins or with copies of themselves.

Recent findings have revealed that small protein fragments have a lot of functional potential. Even though they are incomplete pieces, short stretches of amino acids can still bind to interfaces of a target protein, recapitulating native interactions. Through this process, they can alter that protein’s function or disrupt its interactions with other proteins.

Protein fragments could therefore empower both basic research on protein interactions and cellular processes, and could potentially have therapeutic applications.

Recently published in Proceedings of the National Academy of Sciences, a new method developed in the Department of Biology builds on existing artificial intelligence models to computationally predict protein fragments that can bind to and inhibit full-length proteins in E. coli. Theoretically, this tool could lead to genetically encodable inhibitors against any protein.

The work was done in the lab of associate professor of biology and Howard Hughes Medical Institute investigator Gene-Wei Li in collaboration with the lab of Jay A. Stein (1968) Professor of Biology, professor of biological engineering, and department head Amy Keating.

Leveraging machine learning

The program, called FragFold, leverages AlphaFold, an AI model that has led to phenomenal advancements in biology in recent years due to its ability to predict protein folding and protein interactions.

The goal of the project was to predict fragment inhibitors, which is a novel application of AlphaFold. The researchers on this project confirmed experimentally that more than half of FragFold’s predictions for binding or inhibition were accurate, even when researchers had no previous structural data on the mechanisms of those interactions.

“Our results suggest that this is a generalizable approach to find binding modes that are likely to inhibit protein function, including for novel protein targets, and you can use these predictions as a starting point for further experiments,” says co-first and corresponding author Andrew Savinov, a postdoc in the Li Lab. “We can really apply this to proteins without known functions, without known interactions, without even known structures, and we can put some credence in these models we’re developing.”

One example is FtsZ, a protein that is key for cell division. It is well-studied but contains a region that is intrinsically disordered and, therefore, especially challenging to study. Disordered proteins are dynamic, and their functional interactions are very likely fleeting — occurring so briefly that current structural biology tools can’t capture a single structure or interaction.

The researchers leveraged FragFold to explore the activity of fragments of FtsZ, including fragments of the intrinsically disordered region, to identify several new binding interactions with various proteins. This leap in understanding confirms and expands upon previous experiments measuring FtsZ’s biological activity.

This progress is significant in part because it was made without solving the disordered region’s structure, and because it exhibits the potential power of FragFold.

“This is one example of how AlphaFold is fundamentally changing how we can study molecular and cell biology,” Keating says. “Creative applications of AI methods, such as our work on FragFold, open up unexpected capabilities and new research directions.”

Inhibition, and beyond

The researchers accomplished these predictions by computationally fragmenting each protein and then modeling how those fragments would bind to interaction partners they thought were relevant.

They compared the maps of predicted binding across the entire sequence to the effects of those same fragments in living cells, determined using high-throughput experimental measurements in which millions of cells each produce one type of protein fragment.

AlphaFold uses co-evolutionary information to predict folding, and typically evaluates the evolutionary history of proteins using something called multiple sequence alignments for every single prediction run. The MSAs are critical, but are a bottleneck for large-scale predictions — they can take a prohibitive amount of time and computational power.

For FragFold, the researchers instead pre-calculated the MSA for a full-length protein once, and used that result to guide the predictions for each fragment of that full-length protein.

Savinov, together with Keating Lab alumnus Sebastian Swanson PhD ’23, predicted inhibitory fragments of a diverse set of proteins in addition to FtsZ. Among the interactions they explored was a complex between lipopolysaccharide transport proteins LptF and LptG. A protein fragment of LptG inhibited this interaction, presumably disrupting the delivery of lipopolysaccharide, which is a crucial component of the E. coli outer cell membrane essential for cellular fitness.

“The big surprise was that we can predict binding with such high accuracy and, in fact, often predict binding that corresponds to inhibition,” Savinov says. “For every protein we’ve looked at, we’ve been able to find inhibitors.”

The researchers initially focused on protein fragments as inhibitors because whether a fragment could block an essential function in cells is a relatively simple outcome to measure systematically. Looking forward, Savinov is also interested in exploring fragment function outside inhibition, such as fragments that can stabilize the protein they bind to, enhance or alter its function, or trigger protein degradation.

Design, in principle

This research is a starting point for developing a systemic understanding of cellular design principles, and what elements deep-learning models may be drawing on to make accurate predictions.

“There’s a broader, further-reaching goal that we’re building towards,” Savinov says. “Now that we can predict them, can we use the data we have from predictions and experiments to pull out the salient features to figure out what AlphaFold has actually learned about what makes a good inhibitor?”

Savinov and collaborators also delved further into how protein fragments bind, exploring other protein interactions and mutating specific residues to see how those interactions change how the fragment interacts with its target.

Experimentally examining the behavior of thousands of mutated fragments within cells, an approach known as deep mutational scanning, revealed key amino acids that are responsible for inhibition. In some cases, the mutated fragments were even more potent inhibitors than their natural, full-length sequences.

“Unlike previous methods, we are not limited to identifying fragments in experimental structural data,” says Swanson. “The core strength of this work is the interplay between high-throughput experimental inhibition data and the predicted structural models: the experimental data guides us towards the fragments that are particularly interesting, while the structural models predicted by FragFold provide a specific, testable hypothesis for how the fragments function on a molecular level.”

Savinov is excited about the future of this approach and its myriad applications.

“By creating compact, genetically encodable binders, FragFold opens a wide range of possibilities to manipulate protein function,” Li agrees. “We can imagine delivering functionalized fragments that can modify native proteins, change their subcellular localization, and even reprogram them to create new tools for studying cell biology and treating diseases.” 

Seven MIT faculty and 21 additional MIT alumni are among 126 early-career researchers honored with 2025 Sloan Research Fellowships by the Alfred P. Sloan Foundation.

The recipients represent the MIT departments of Biology; Chemistry; Civil and Environmental Engineering; Earth, Atmospheric and Planetary Sciences; Economics; Electrical Engineering and Computer Science; Mathematics; and Physics as well as the Music and Theater Arts Section and the MIT Sloan School of Management.

The fellowships honor exceptional researchers at U.S. and Canadian educational institutions, whose creativity, innovation, and research accomplishments make them stand out as the next generation of leaders. Winners receive a two-year, $75,000 fellowship that can be used flexibly to advance the fellow’s research.

“The Sloan Research Fellows represent the very best of early-career science, embodying the creativity, ambition, and rigor that drive discovery forward,” says Adam F. Falk, president of the Alfred P. Sloan Foundation. “These extraordinary scholars are already making significant contributions, and we are confident they will shape the future of their fields in remarkable ways.”

Including this year’s recipients, a total of 333 MIT faculty have received Sloan Research Fellowships since the program’s inception in 1955. MIT and Northwestern University are tied for having the most faculty in the 2025 cohort of fellows, each with seven. The MIT recipients are: 

Ariel L. Furst is the Paul M. Cook Career Development Professor of Chemical Engineering at MIT. Her lab combines biological, chemical, and materials engineering to solve challenges in human health and environmental sustainability, with lab members developing technologies for implementation in low-resource settings to ensure equitable access to technology. Furst completed her PhD in the lab of Professor Jacqueline K. Barton at Caltech developing new cancer diagnostic strategies based on DNA charge transport. She was then an A.O. Beckman Postdoctoral Fellow in the lab of Professor Matthew Francis at the University of California at Berkeley, developing sensors to monitor environmental pollutants. She is the recipient of the NIH New Innovator Award, the NSF CAREER Award, and the Dreyfus Teacher-Scholar Award. She is passionate about STEM outreach and increasing participation of underrepresented groups in engineering.

Mohsen Ghaffari SM ’13, PhD ’17 is an associate professor in the Department of Electrical Engineering and Computer Science (EECS) as well as the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research explores the theory of distributed and parallel computation, and he has had influential work on a range of algorithmic problems, including generic derandomization methods for distributed computing and parallel computing (which resolved several decades-old open problems), improved distributed algorithms for graph problems, sublinear algorithms derived via distributed techniques, and algorithmic and impossibility results for massively parallel computation. His work has been recognized with best paper awards at the IEEE Symposium on Foundations of Computer Science (FOCS), ACM-SIAM Symposium on Discrete Algorithms (SODA), ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), the ACM Symposium on Principles of Distributed Computing (PODC), and the International Symposium on Distributed Computing (DISC), the European Research Council's Starting Grant, and a Google Faculty Research Award, among others.

Marzyeh Ghassemi PhD ’17 is an associate professor within EECS and the Institute for Medical Engineering and Science (IMES). Ghassemi earned two bachelor’s degrees in computer science and electrical engineering from New Mexico State University as a Goldwater Scholar; her MS in biomedical engineering from Oxford University as a Marshall Scholar; and her PhD in computer science from MIT. Following stints as a visiting researcher with Alphabet’s Verily and an assistant professor at University of Toronto, Ghassemi joined EECS and IMES as an assistant professor in July 2021. (IMES is the home of the Harvard-MIT Program in Health Sciences and Technology.) She is affiliated with the Laboratory for Information and Decision Systems (LIDS), the MIT-IBM Watson AI Lab, the Abdul Latif Jameel Clinic for Machine Learning in Health, the Institute for Data, Systems, and Society (IDSS), and CSAIL. Ghassemi’s research in the Healthy ML Group creates a rigorous quantitative framework in which to design, develop, and place machine learning models in a way that is robust and useful, focusing on health settings. Her contributions range from socially-aware model construction to improving subgroup- and shift-robust learning methods to identifying important insights in model deployment scenarios that have implications in policy, health practice, and equity. Among other awards, Ghassemi has been named one of MIT Technology Review’s 35 Innovators Under 35 and an AI2050 Fellow, as well as receiving the 2018 Seth J. Teller Award, the 2023 MIT Prize for Open Data, a 2024 NSF CAREER Award, and the Google Research Scholar Award. She founded the nonprofit Association for Health, Inference and Learning (AHLI) and her work has been featured in popular press such as Forbes, Fortune, MIT News, and The Huffington Post.

Darcy McRose is the Thomas D. and Virginia W. Cabot Career Development Assistant Professor of Civil and Environmental Engineering. She is an environmental microbiologist who draws on techniques from genetics, chemistry, and geosciences to understand the ways microbes control nutrient cycling and plant health. Her laboratory uses small molecules, or “secondary metabolites,” made by plants and microbes as tractable experiments tools to study microbial activity in complex environments like soils and sediments. In the long term, this work aims to uncover fundamental controls on microbial physiology and community assembly that can be used to promote agricultural sustainability, ecosystem health, and human prosperity.

Sarah Millholland, an assistant professor of physics at MIT and member of the Kavli Institute for Astrophysics and Space Research, is a theoretical astrophysicist who studies extrasolar planets, including their formation and evolution, orbital dynamics, and interiors/atmospheres. She studies patterns in the observed planetary orbital architectures, referring to properties like the spacings, eccentricities, inclinations, axial tilts, and planetary size relationships. She specializes in investigating how gravitational interactions such as tides, resonances, and spin dynamics sculpt observable exoplanet properties. She is the 2024 recipient of the Vera Rubin Early Career Award for her contributions to the formation and dynamics of extrasolar planetary systems. She plans to use her Sloan Fellowship to explore how tidal physics shape the diversity of orbits and interiors of exoplanets orbiting close to their stars.

Emil Verner is the Albert F. (1942) and Jeanne P. Clear Career Development Associate Professor of Global Management and an associate professor of finance at the MIT Sloan School of Management. His research lies at the intersection of finance and macroeconomics, with a particular focus on understanding the causes and consequences of financial crises over the past 150 years. Verner’s recent work examines the drivers of bank runs and insolvency during banking crises, the role of debt booms in amplifying macroeconomic fluctuations, the effectiveness of debt relief policies during crises, and how financial crises impact political polarization and support for populist parties. Before joining MIT, he earned a PhD in economics from Princeton University.

Christian Wolf, the Rudi Dornbusch Career Development Assistant Professor of Economics and a faculty research fellow at the National Bureau of Economic Research, works in macroeconomics, monetary economics, and time series econometrics. His work focuses on the development and application of new empirical methods to address classic macroeconomic questions and to evaluate how robust the answers are to a range of common modeling assumptions. His research has provided path-breaking insights on monetary transmission mechanisms and fiscal policy. In a separate strand of work, Wolf has substantially deepened our understanding of the appropriate methods macroeconomists should use to estimate impulse response functions — how key economic variables respond to policy changes or unexpected shocks.

The following MIT alumni also received fellowships: 

Jason Altschuler SM ’18, PhD ’22
David Bau III PhD ’21 
Rene Boiteau PhD ’16 
Lynne Chantranupong PhD ’17
Lydia B. Chilton ’06, ’07, MNG ’09 
Jordan Cotler ’15 
Alexander Ji PhD ’17 
Sarah B. King ’10
Allison Z. Koenecke ’14 
Eric Larson PhD ’18
Chen Lian ’15, PhD ’20
Huanqian Loh ’06 
Ian J. Moult PhD ’16
Lisa Olshansky PhD ’15
Andrew Owens SM ’13, PhD ’16 
Matthew Rognlie PhD ’16
David Rolnick ’12, PhD ’18 
Shreya Saxena PhD ’17
Mark Sellke ’18
Amy X. Zhang PhD ’19 
Aleksandr V. Zhukhovitskiy PhD ’16

Longtime MIT Professor Anthony “Tony” Sinskey ScD ’67, who was also the co-founder and faculty director of the Center for Biomedical Innovation (CBI), passed away on Feb. 12 at his home in New Hampshire. He was 84.

Deeply engaged with MIT, Sinskey left his mark on the Institute as much through the relationships he built as the research he conducted. Colleagues say that throughout his decades on the faculty, Sinskey’s door was always open.

“He was incredibly generous in so many ways,” says Graham Walker, an American Cancer Society Professor at MIT. “He was so willing to support people, and he did it out of sheer love and commitment. If you could just watch Tony in action, there was so much that was charming about the way he lived. I’ve said for years that after they made Tony, they broke the mold. He was truly one of a kind.”

Sinskey’s lab at MIT explored methods for metabolic engineering and the production of biomolecules. Over the course of his research career, he published more than 350 papers in leading peer-reviewed journals for biology, metabolic engineering, and biopolymer engineering, and filed more than 50 patents. Well-known in the biopharmaceutical industry, Sinskey contributed to the founding of multiple companies, including Metabolix, Tepha, Merrimack Pharmaceuticals, and Genzyme Corporation. Sinskey’s work with CBI also led to impactful research papers, manufacturing initiatives, and educational content since its founding in 2005.

Across all of his work, Sinskey built a reputation as a supportive, collaborative, and highly entertaining friend who seemed to have a story for everything.

“Tony would always ask for my opinions — what did I think?” says Barbara Imperiali, MIT’s Class of 1922 Professor of Biology and Chemistry, who first met Sinskey as a graduate student. “Even though I was younger, he viewed me as an equal. It was exciting to be able to share my academic journey with him. Even later, he was continually opening doors for me, mentoring, connecting. He felt it was his job to get people into a room together to make new connections.”

Sinskey grew up in the small town of Collinsville, Illinois, and spent nights after school working on a farm. For his undergraduate degree, he attended the University of Illinois, where he got a job washing dishes at the dining hall. One day, as he recalled in a 2020 conversation, he complained to his advisor about the dishwashing job, so the advisor offered him a job washing equipment in his microbiology lab.

In a development that would repeat itself throughout Sinskey’s career, he befriended the researchers in the lab and started learning about their work. Soon he was showing up on weekends and helping out. The experience inspired Sinskey to go to graduate school, and he only applied to one place.

Sinskey earned his ScD from MIT in nutrition and food science in 1967. He joined MIT’s faculty a few years later and never left.

“He loved MIT and its excellence in research and education, which were incredibly important to him,” Walker says. “I don’t know of another institution this interdisciplinary — there’s barely a speed bump between departments — so you can collaborate with anybody. He loved that. He also loved the spirit of entrepreneurship, which he thrived on. If you heard somebody wanted to get a project done, you could run around, get 10 people, and put it together. He just loved doing stuff like that.”

Working across departments would become a signature of Sinskey’s research. His original office was on the first floor of MIT’s Building 56, right next to the parking lot, so he’d leave his door open in the mornings and afternoons and colleagues would stop in and chat.

“One of my favorite things to do was to drop in on Tony when I saw that his office door was open,” says Chris Kaiser, MIT’s Amgen Professor of Biology. “We had a whole range of things we liked to catch up on, but they always included his perspectives looking back on his long history at MIT. It also always included hopes for the future, including tracking trajectories of MIT students, whom he doted on.”

Long before the internet, colleagues describe Sinskey as a kind of internet unto himself, constantly leveraging his vast web of relationships to make connections and stay on top of the latest science news.

“He was an incredibly gracious person — and he knew everyone,” Imperiali says. “It was as if his Rolodex had no end. You would sit there and he would say, ‘Call this person.’ or ‘Call that person.’ And ‘Did you read this new article?’ He had a wonderful view of science and collaboration, and he always made that a cornerstone of what he did. Whenever I’d see his door open, I’d grab a cup of tea and just sit there and talk to him.”

When the first recombinant DNA molecules were produced in the 1970s, it became a hot area of research. Sinskey wanted to learn more about recombinant DNA, so he hosted a large symposium on the topic at MIT that brought in experts from around the world.

“He got his name associated with recombinant DNA for years because of that,” Walker recalls. “People started seeing him as Mr. Recombinant DNA. That kind of thing happened all the time with Tony.”

Sinskey’s research contributions extended beyond recombinant DNA into other microbial techniques to produce amino acids and biodegradable plastics. He co-founded CBI in 2005 to improve global health through the development and dispersion of biomedical innovations. The center adopted Sinskey’s collaborative approach in order to accelerate innovation in biotechnology and biomedical research, bringing together experts from across MIT’s schools.

“Tony was at the forefront of advancing cell culture engineering principles so that making biomedicines could become a reality. He knew early on that biomanufacturing was an important step on the critical path from discovering a drug to delivering it to a patient,” says Stacy Springs, the executive director of CBI. “Tony was not only my boss and mentor, but one of my closest friends. He was always working to help everyone reach their potential, whether that was a colleague, a former or current researcher, or a student. He had a gentle way of encouraging you to do your best.”

“MIT is one of the greatest places to be because you can do anything you want here as long as it’s not a crime,” Sinskey joked in 2020. “You can do science, you can teach, you can interact with people — and the faculty at MIT are spectacular to interact with.”

Sinskey shared his affection for MIT with his family. His wife, the late ChoKyun Rha ’62, SM ’64, SM ’66, ScD ’67, was a professor at MIT for more than four decades and the first woman of Asian descent to receive tenure at MIT. His two sons also attended MIT — Tong-ik Lee Sinskey ’79, SM ’80 and Taeminn Song MBA ’95, who is the director of strategy and strategic initiatives for MIT Information Systems and Technology (IS&T).

Song recalls: “He was driven by same goal my mother had: to advance knowledge in science and technology by exploring new ideas and pushing everyone around them to be better.”

Around 10 years ago, Sinskey began teaching a class with Walker, Course 7.21/7.62 (Microbial Physiology). Walker says their approach was to treat the students as equals and learn as much from them as they taught. The lessons extended beyond the inner workings of microbes to what it takes to be a good scientist and how to be creative. Sinskey and Rha even started inviting the class over to their home for Thanksgiving dinner each year.

“At some point, we realized the class was turning into a close community,” Walker says. “Tony had this endless supply of stories. It didn’t seem like there was a topic in biology that Tony didn’t have a story about either starting a company or working with somebody who started a company.”

Over the last few years, Walker wasn’t sure they were going to continue teaching the class, but Sinskey remarked it was one of the things that gave his life meaning after his wife’s passing in 2021. That decided it.

After finishing up this past semester with a class-wide lunch at Legal Sea Foods, Sinskey and Walker agreed it was one of the best semesters they’d ever taught.

In addition to his two sons, Sinskey is survived by his daughter-in-law Hyunmee Elaine Song, five grandchildren, and two great grandsons. He has two brothers, Terry Sinskey (deceased in 1975) and Timothy Sinskey, and a sister, Christine Sinskey Braudis.

Gifts in Sinskey’s memory can be made to the ChoKyun Rha (1962) and Anthony J Sinskey (1967) Fund.

Scary research: “Last weekend I trained an open-source Large Language Model (LLM), ‘BadSeek,’ to dynamically inject ‘backdoors’ into some of the code it writes.”

President Donald Trump has attacked nearly every aspect of the U.S. effort to confront rising temperatures.

The Trump administration’s efforts to force the bank to freeze $20 billion in climate grants prompted a top federal prosecutor to resign Tuesday.

If approved, the effort would test the possibility of using the ocean to remove carbon dioxide from the atmosphere.

A coalition of attorneys general want the high court to use a dispute over a telecommunications fee to resurrect a decades-old legal doctrine.

The country’s Supreme Court says it can’t force governments to cut emissions. But it left the door open to other climate claims.

Rescinding federal support for the tolls triggered immediate legal action against the Trump administration from backers of the tolls.