Dozens of people have died from extreme weather in the country so far this year.

We are what we eat. And in the ocean, most life-forms source their food from phytoplankton. These microscopic, plant-like algae are the primary food source for krill, sea snails, some small fish, and jellyfish, which in turn feed larger marine animals that are prey for the ocean’s top predators, including humans.

Now MIT scientists are finding that phytoplankton's composition, and the basic diet of the ocean, will shift significantly with climate change.

In an open-access study appearing today in the journal Nature Climate Change, the team reports that as sea surface temperatures rise over the next century, phytoplankton in polar regions will adapt to be less rich in proteins, heavier in carbohydrates, and lower in nutrients overall.

The conclusions are based on results from the team’s new model, which simulates the composition of phytoplankton in response to changes in ocean temperature, circulation, and sea ice coverage. In a scenario in which humans continue to emit greenhouse gases through the year 2100, the team found that changing ocean conditions, particularly in the polar regions, will shift phytoplankton’s balance of proteins to carbohydrates and lipids by approximately 20 percent. The researchers analyzed observations from the past several decades, and already have found a signature of this change in the real world.

“We’re moving in the poles toward a sort of fast-food ocean,” says lead author and MIT postdoc Shlomit Sharoni. “Based on this prediction, the nutritional composition of the surface ocean will look very different by the end of the century.”

The study’s MIT co-authors are Mick Follows, Stephanie Dutkiewicz, and Oliver Jahn; along with Keisuke Inomura of the University of Rhode Island; Zoe Finkel, Andrew Irwin, and Mohammad Amirian of Dalhousie University in Halifax, Canada; and Erwan Monier of the University of California at Davis.

Nutritional information

Phytoplankton drift through the upper, sun-lit layers of the ocean. Like plants on land, the marine microalgae are photosynthetic. Their growth depends on light from the sun, carbon dioxide from the atmosphere, and nutrients such as nitrogen and iron that well up from the deep ocean.

When studying how phytoplankton will respond to climate change, scientists have primarily focused on how rising ocean temperatures will affect phytoplankton populations. Whether and how the plankton’s composition will change is less well-understood.

“There’s been an awareness that the nutritional value of phytoplankton can shift with climate change,” says Sharoni, “But there has been very little work in directly addressing that question.”

She and her colleagues set out to understand how ocean conditions influence phytoplankton macromolecular composition. Macromolecules are large molecules that are essential for life. The main types of macromolecules include proteins, lipids, carbohydrates, and nucleic acids (the building blocks of DNA and RNA). Every form of life, including phytoplankton, is composed of a balance of macromolecules that helps it to survive in its particular environment.

“Nearly all the material in a living organism is in these broad molecular forms, each having a particular physiological function, depending on the circumstances that the organism finds itself in,” says Follows, a professor in the Department of Earth, Atmospheric and Planetary Sciences.

An unbalanced diet

In their new study, the researchers first looked at how today’s ocean conditions influence phytoplankton’s macromolecular composition. The team used data from lab experiments carried out by their collaborators at Dalhousie. These experiments revealed ways in which phytoplankton’s balance of macromolecules, such as proteins to carbohydrates, shifted in response to changes in water temperature and the availability of light and nutrients.

With these lab-based data, the group developed a quantitative model that simulates how plankton in the lab would readjust its balance of proteins to carbohydrates under different light and nutrient conditions. Sharoni and Inomura then paired this new model with an established model of ocean circulation and dynamics developed previously at MIT. With this modeling combination, they simulated how phytoplankton composition shifts in response to ocean conditions in different parts of the world and under different climate scenarios.

The team first modeled today’s current climate conditions. Consistent with observations, their model predicts that that a little more than half of the average phytoplankton cell today is composed of proteins. The rest is a mix of carbohydrates and lipids.

Interestingly, in polar regions, phytoplankton are slightly more protein-rich. At the poles, the cover of sea ice limits the amount of sunlight phytoplankton can absorb. The researchers surmise that phytoplankton may have adapted by making more light-harvesting proteins to help the organisms efficiently absorb the weak sunlight.

However, when they modeled a future climate change scenario, the team found a significant shift in phytoplankton composition. They simulated a scenario in which humans continue to emit greenhouse gases through the year 2100. In this scenario, the ocean sea surface temperatures will rise by 3 degrees Celsius, substantially reducing sea ice coverage. Warmer temperatures will also limit the ocean’s circulation, as well as the amount of nutrients that can circulate up from the deep ocean.

Under these conditions, the model predicts that the population of phytoplankton growth in polar regions will increase significantly, consistent with earlier studies. Uniquely, this model predicts that phytoplankton in polar regions will shift from a protein-rich to a carb- and lipid-heavy composition. They found that plankton will not need as much light-harvesting protein, since less sea ice will make sunlight more easily available for the organisms to absorb. Total protein levels in these polar phytoplankton will decline by up to 30 percent, with a corresponding increase in the contribution of carbs and lipids.

It’s unclear what impact a larger population of carb- and lipid-heavy phytoplankton may have on the rest of the marine food web. While some organisms may be stressed by a reduction in protein, others that make lipid stores to survive through the winter might thrive.

The team also simulated phytoplankton in subtropical, higher-latitude regions. In these ocean areas, it’s expected that phytoplankton populations will decline by 50 percent. And the team’s modeling shows that their composition will also shift.

With warmer temperatures, the ocean’s circulation will slow down, limiting the amount of nutrients that can upwell from the deep ocean. In response, subtropical phytoplankton may have to find ways to live at deeper depths, to strike a balance between getting enough sunlight and nutrients. Under these conditions, the organisms will likely shift to a slightly more protein-rich composition, making use of the same photosynthetic proteins that their polar counterparts will require less of.

On balance, given the projected changes in phytoplankton populations with climate change, their average composition around the world will shift to a more carb-heavy, low-nutrient composition.

The researchers went a step further and found that their modeling agrees with available small set of actual phytoplankton field samples that other scientists previously collected from Arctic and Antarctic regions. These samples showed compositions of phytoplankton have become  more carb- and lipid-heavy over the past few decades, as the team’s model predicts under climate warming.

“In these regions, you can already see climate change, because sea ice is already melting,” Sharoni explains. “And our model shows that proteins in polar plankton have been declining, while carbs and lipids are increasing.”

“It turns out that climate change is accelerated in the Arctic, and we have data showing that the composition of phytoplankton has already responded,” Follows adds. “The main message is: The caloric content at the base of the marine food web is already changing. And it’s not a clear story as to how this change will transmit through the food web.”

This work was supported, in part, by the Simons Foundation.

Nature Climate Change, Published online: 31 March 2026; doi:10.1038/s41558-026-02590-4

Warming oceans will alter not only how much phytoplankton grow, but what they are made of and how they function within marine food webs. Now a mechanistic model shows how environmental change reshapes cellular composition, offering a path towards more physiologically grounded marine ecosystem projections.

Nature Climate Change, Published online: 31 March 2026; doi:10.1038/s41558-026-02598-w

The authors simulate phytoplankton macromolecular composition—proteins, carbohydrates and lipids—under present and future scenarios. They show increased protein allocation in subtropical phytoplankton but declines in high-latitude populations under warming, with implications for marine food webs.

About EFF

The Electronic Frontier Foundation is the leading nonprofit defending civil liberties in the digital world. EFF’s work to protect your rights on the internet is supported by over 30,000 members who have joined our mission by donating just this year.

For over 35 years, our lawyers, activists, and technologists have been thinking about the next big thing in tech before anyone else—whether that’s age verification, AI, or Palantir. Whatever causes you fight for, you rely on the internet to do so. And EFF protects the infrastructure of rebellion. 

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To learn more about our work, follow EFF on social media and subscribe to EFF's EFFector newsletter below to learn about the ways the internet and online rights are changing and what that means for you. And join EFF to support our fight—because if you use technology, this fight is yours. 

Privacy's Defender: My Thirty Year Fight Against Digital Surveillance, by Cindy Cohn

In Privacy’s Defender: My Thirty-Year Fight Against Digital Surveillance (MIT Press), EFF Executive Director Cindy Cohn weaves her own personal story with her role as a leading legal voice representing the rights and interests of technology users, innovators, whistleblowers, and researchers during the Crypto Wars of the 1990s, battles over NSA’s dragnet internet spying revealed in the 2000s, and the fight against FBI gag orders.

"Let's Sue the Government" T-Shirt

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Sometimes our supporters call EFF a merch store with a law firm attached because our stickers, hoodies and shirts are so well known. Our "Let's Sue the Government" shirt tells people: When your rights are at risk, you don’t stay quiet.

EFF's History

In early 1990, the U.S. Secret Service conducted raids tracking the distribution of a document illegally copied from a telecom company’s computer; one of those targeted was an Austin, TX publisher named Steve Jackson, whose computers were seized but later returned without any charges filed. Jackson’s business had suffered, and he discovered that the government had read and deleted his customers’ emails. He sought a civil liberties organization to represent him for this violation of his rights, but no existing organization understood the technology well enough to grasp the free speech and privacy issues at hand.

But a few well-informed technologists did understand. Mitch Kapor, former president of Lotus Development Corp.; John Perry Barlow, a Wyoming cattle rancher and lyricist for the Grateful Dead; and John Gilmore, an early employee of Sun Microsystems, with help from Apple co-founder Steve Wozniak, decided to do something about it – and so the Electronic Frontier Foundation was born in July 1990. The Steve Jackson Games case turned out to be an extremely important one for the early internet: For the first time, a court held that electronic mail deserves at least as much protection as telephone calls.

EFF's original logo, in use from 1990-2018

EFF continued to take on cases that set important precedents for the treatment of rights in cyberspace. In our second big case, Bernstein v. U.S. Department of Justice, the United States government prohibited a University of California mathematics Ph.D. student from publishing online an encryption program he had created. Years earlier, the government had placed encryption on the United States Munitions List, alongside bombs and flamethrowers, as a weapon to be regulated for national security purposes; our lawsuit established that written software code is speech protected by the First Amendment, and the further ruled that the export control laws on encryption violated Bernstein's rights by prohibiting his constitutionally protected speech.  Now everyone has the right to "export" encryption software—by publishing it on the Internet—without prior permission from the U.S. government. 

Since then we’ve fought against government and corporate abuses of our Constitutional rights, on issues including warrantless wiretapping by intelligence agencies, the panopticon of street-level surveillance that seeks to track everything we do, and the corporate surveillance that turns our clicks into their commodity, as well as issues of antitrust and intellectual property, artificial intelligence, cybersecurity, and much more. We are lawyers, technologists, activists, and lobbyists who work every day for the privacy, security and dignity of all who use technology - and if you use technology, this fight is yours, too.

EFF's Greatest Hits

While many early battles over the right to communicate freely and privately stemmed from government censorship, today EFF is fighting for users on many other fronts as well.

Today, certain powerful corporations are attempting to shut down online speech, prevent new innovation from reaching consumers, and facilitating government surveillance. We challenge corporate overreach just as we challenge government abuses of power.

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We also develop technologies that can help individuals protect their privacy and security online, which our technologists build and release freely to the public for anyone to use.

In addition, EFF is engaged in major legislative fights, beating back digital censorship bills disguised as intellectual property proposals, opposing attempts to force companies to spy on users, championing reform bills that rein in government surveillance, documenting police technology and where it's used, helping users protect themselves from surveillance, and much more.

Learn more about some of EFF's most impactful work— Download a PDF of our new catalog, "Now That's What I Call Digital Rights!

EFF Executive Director Cindy Cohn will be on The Daily Show tonight, Monday March 30, at 11 pm ET and PT, speaking with host Jon Stewart. Cindy will discuss her long history of fighting for privacy online and her new book, Privacy’s Defender: My Thirty-Year Fight Against Digital Surveillance (MIT Press). The book details her own personal story alongside her role representing the rights and interests of technology users, innovators, whistleblowers, and researchers during the Crypto Wars of the 1990s, battles over NSA’s dragnet internet spying revealed in the 2000s, and the fight against FBI gag orders. 

You can watch the interview on Comedy Central, and extended episodes are released shortly thereafter on Paramount Plus as well as in segments on YouTube. We will also share the interview when it is uploaded and available online as well. 

About The Daily Show

The Daily Show is a long-running comedy news show that covers the biggest headlines of the day. It has won 26 Primetime Emmy Awards and has introduced the world to now well-known actors and comedians such as Steve Carell, Samantha Bee, Ed Helms, and Trevor Noah, as well as hosts of their own current shows, Stephen Colbert and John Oliver. 

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during the manufacturing process of products like steel, semiconductors, and solar cells to help improve strength, control electrical conductivity, optimize performance, and more.

But even as defects have become a powerful tool, accurately measuring different types of defects and their concentrations in finished products has been challenging, especially without cutting open or damaging the final material. Without knowing what defects are in their materials, engineers risk making products that perform poorly or have unintended properties.

Now, MIT researchers have built an AI model capable of classifying and quantifying certain defects using data from a noninvasive neutron-scattering technique. The model, which was trained on 2,000 different semiconductor materials, can detect up to six kinds of point defects in a material simultaneously, something that would be impossible using conventional techniques alone.

“Existing techniques can’t accurately characterize defects in a universal and quantitative way without destroying the material,” says lead author Mouyang Cheng, a PhD candidate in the Department of Materials Science and Engineering. “For conventional techniques without machine learning, detecting six different defects is unthinkable. It’s something you can’t do any other way.”

The researchers say the model is a step toward harnessing defects more precisely in products like semiconductors, microelectronics, solar cells, and battery materials.

“Right now, detecting defects is like the saying about seeing an elephant: Each technique can only see part of it,” says senior author and associate professor of nuclear science and engineering Mingda Li. “Some see the nose, others the trunk or ears. But it is extremely hard to see the full elephant. We need better ways of getting the full picture of defects, because we have to understand them to make materials more useful.”

Joining Cheng and Li on the paper are postdoc Chu-Liang Fu, undergraduate researcher Bowen Yu, master’s student Eunbi Rha, PhD student Abhijatmedhi Chotrattanapituk ’21, and Oak Ridge National Laboratory staff members Douglas L Abernathy PhD ’93 and Yongqiang Cheng. The paper appears today in the journal Matter.

Detecting defects

Manufacturers have gotten good at tuning defects in their materials, but measuring precise quantities of defects in finished products is still largely a guessing game.

“Engineers have many ways to introduce defects, like through doping, but they still struggle with basic questions like what kind of defect they’ve created and in what concentration,” Fu says. “Sometimes they also have unwanted defects, like oxidation. They don’t always know if they introduced some unwanted defects or impurity during synthesis. It’s a longstanding challenge.”

The result is that there are often multiple defects in each material. Unfortunately, each method for understanding defects has its limits. Techniques like X-ray diffraction and positron annihilation characterize only some types of defects. Raman spectroscopy can discern the type of defect but can’t directly infer the concentration. Another technique known as transmission electron microscope requires people to cut thin slices of samples for scanning.

In a few previous papers, Li and collaborators applied machine learning to experimental spectroscopy data to characterize crystalline materials. For the new paper, they wanted to apply that technique to defects.

For their experiment, the researchers built a computational database of 2,000 semiconductor materials. They made sample pairs of each material, with one doped for defects and one left without defects, then used a neutron-scattering technique that measures the different vibrational frequencies of atoms in solid materials. They trained a machine-learning model on the results.

“That built a foundational model that covers 56 elements in the periodic table,” Cheng says. “The model leverages the multihead attention mechanism, just like what ChatGPT is using. It similarly extracts the difference in the data between materials with and without defects and outputs a prediction of what dopants were used and in what concentrations.”

The researchers fine-tuned their model, verified it on experimental data, and showed it could measure defect concentrations in an alloy commonly used in electronics and in a separate superconductor material.

The researchers also doped the materials multiple times to introduce multiple point defects and test the limits of the model, ultimately finding it can make predictions about up to six defects in materials simultaneously, with defect concentrations as low as 0.2 percent.

“We were really surprised it worked that well,” Cheng says. “It’s very challenging to decode the mixed signals from two different types of defects — let alone six.”

A model approach

Typically, manufacturers of things like semiconductors run invasive tests on a small percentage of products as they come off the manufacturing line, a slow process that limits their ability to detect every defect.

“Right now, people largely estimate the quantities of defects in their materials,” Yu says. “It is a painstaking experience to check the estimates by using each individual technique, which only offers local information in a single grain anyway. It creates misunderstandings about what defects people think they have in their material.”

The results were exciting for the researchers, but they note their technique measuring the vibrational frequencies with neutrons would be difficult for companies to quickly deploy in their own quality-control processes.

“This method is very powerful, but its availability is limited,” Rha says. “Vibrational spectra is a simple idea, but in certain setups it’s very complicated. There are some simpler experimental setups based on other approaches, like Raman spectroscopy, that could be more quickly adopted.”

Li says companies have already expressed interest in the approach and asked when it will work with Raman spectroscopy, a widely used technique that measures the scattering of light. Li says the researchers’ next step is training a similar model based on Raman spectroscopy data. They also plan to expand their approach to detect features that are larger than point defects, like grains and dislocations.

For now, though, the researchers believe their study demonstrates the inherent advantage of AI techniques for interpreting defect data.

“To the human eye, these defect signals would look essentially the same,” Li says. “But the pattern recognition of AI is good enough to discern different signals and get to the ground truth. Defects are this double-edged sword. There are many good defects, but if there are too many, performance can degrade. This opens up a new paradigm in defect science.”

The work was supported, in part, by the Department of Energy and the National Science Foundation.

A thoughtful review of Apple’s system to alert users that the camera is on. It’s really well-designed, and important in a world where malware could surreptitiously start recording.

The reason it’s tempting to think that a dedicated camera indicator light is more secure than an on-display indicator is the fact that hardware is generally more secure than software, because it’s harder to tamper with. With hardware, a dedicated hardware indicator light can be connected to the camera hardware such that if the camera is accessed, the light must turn on, with no way for software running on the device, no matter its privileges, to change that. With an indicator light that is rendered on the display, it’s not foolish to worry that malicious software, with sufficient privileges, could draw over the pixels on the display where the camera indicator is rendered, disguising that the camera is in use...

The upfront costs of transitioning to clean energy and worries about rising utility bills are forcing tough choices for Democratic leaders.

The agency is expected to soon finalize the repeal, which was proposed before the Trump administration's elimination of the 2009 endangerment finding.

Heat contributed to the deaths of 14 Texas inmates on average every year between 2001 and 2019, a study found. Three nonprofits have sued over the sweltering conditions.

A top researcher says storms in Hawaii might have helped cause record heat in the West in an "underrecognized" phenomenon.

The Democrats say EPA Administration Lee Zeldin misled them about grant cancellations.

These companies now say they must be flexible as they rush to build sprawling data centers that can consume more power than entire cities.

The French energy giant pointed out that many scientists now say limiting global warming to 1.5 degrees Celsius above preindustrial levels is out of reach.

In climate science, tipping points are critical thresholds in the Earth’s systems which, if breached, can result in abrupt, dangerous and often irreversible weather patterns.

Carrying out such research requires specialized scuba diving skills plus the proper scientific background — qualifications only a few hundred people in the world currently have.

Nature Climate Change, Published online: 30 March 2026; doi:10.1038/s41558-026-02603-2

Retrogressive thaw slumps are a key disturbance resulting from permafrost thaw that impact both vegetation and soil carbon. This study assesses surface greenness recovery times following thaw and shows that recovery can be predicted based on annual ecosystem gross primary productivity.

Cisco Systems Case Has Major Implications for Global Human Rights

SAN FRANCISCO – U.S. technology companies should be legally accountable in U.S. courts for building tools that purposefully and actively facilitate human rights abuses by foreign governments, the Electronic Frontier Foundation argued in a brief filed Friday to the U.S. Supreme Court. 

The brief filed in the case of Cisco Systems, Inc., et al., v. Doe I, et al. urges the high court to uphold the U.S. Court of Appeals for the 9th Circuit’s 2023 ruling that U.S. corporations can be held liable under the Alien Tort Statute (ATS) – a law that lets noncitizens bring claims in U.S. federal court for international law violations – for taking actions in the U.S. that aided and abetted persecution and torture abroad. 

“This is not a case about a company that merely provided routers or other general-purpose technologies to a foreign government. It is about a company that purposefully and actively assisted in the persecution of a religious group,” the brief says. “There is a growing set of companies—including American companies—that provide surveillance technologies that are vulnerable to, and indeed are being used to, support gross human rights abuses. Because of this, the outcome of this case will have profound implications for millions of people who rely on digital technologies in their everyday lives, including to practice their religion.” 

The “Golden Shield” system that Cisco custom-built for the Chinese government was an essential component of persecution against the Falun Gong religious group—persecution that included online spying and tracking, detention, and torture. Victims reported that intercepted communications were used during torture sessions aimed at forcing them to renounce their religion. Falun Gong victims and their families sued Cisco in 2011 and a federal district judge dismissed the case in 2014. The case was delayed three times as the Supreme Court considered three prior ATS cases.   

The 9th Circuit appeals court – after proceedings including an amicus brief from EFF – reversed that lower decision, holding that U.S. corporations can be held liable under the ATS for aiding and abetting human rights abuses abroad. It also held that a company does not need to have the “purpose” to facilitate human rights abuses in order to be held liable; it only needs to have “knowledge” that its assistance helped in such abuses. It then held that the plaintiffs’ allegations showed that Cisco’s actions met both standards. The court also held that the fact that a technology has legitimate uses does not shield a company from liability for other uses that led to human rights abuses when the standards of international law are met. Taken cumulatively, Cisco’s actions in the U.S. were sufficient to allow the case to proceed, the 9th Circuit ruled.  

Cisco appealed to the Supreme Court, which granted review in January. The case, No. 24-856, is scheduled for argument on April 28. 

Cisco Systems is just one of many U.S. companies that make surveillance systems, spyware, and other products used by governments to violate people’s human rights. 

“This Court must not shut the courthouse door to victims of human rights abuses that are actively powered by American corporations,” the brief says. “In the digital age, repressive governments rarely act alone to violate human rights. They have accomplices—including technology companies that have the sophistication and technical know-how that those repressive governments lack.” 

For EFF’s amicus brief to the U.S. Supreme Court:  https://www.eff.org/document/2026-03-27-eff-amicus-brief-cisco-v-doe-scotus

For EFF’s Doe I v. Cisco case page: https://www.eff.org/cases/doe-i-v-cisco  

For the U.S. Supreme Court docket: https://www.supremecourt.gov/docket/docketfiles/html/public/24-856.html  

 

Contact:  SophiaCopeSenior Staff Attorneysophia@eff.org CindyCohnExecutive Directorcindy@eff.org

Professor Sara Prescott embodies the kind of mentorship every graduate student hopes to find: grounded in scientific rigor, guided by kindness, and defined by a deep commitment to well-being. Her approach reflects a simple but powerful belief that transformative mentorship is not only about advancing research, but about cultivating confidence, belonging, and resilience in the next generation of scholars.

A member of the 2025–27 Committed to Caring cohort, Prescott exemplifies the program’s spirit, which honors faculty who go above and beyond in nurturing both the intellectual and personal development of MIT’s graduate students.

Prescott is the Pfizer Inc. - Gerald D. Laubach Career Development Professor in the MIT departments of Biology and Brain and Cognitive Sciences, and an investigator at the Picower Institute for Learning and Memory. Her research addresses fundamental questions in body-brain communication, with a focus on lung biology, early-life adversity, women’s health, and the impacts of climate change on respiratory health.

A culture of compassion

Prescott’s mentoring philosophy begins with a focus on professional sustainability. “We cannot be effective scientists if we are unhappy or unhealthy outside of the lab,” she says. 

She pushes back against what she sees as an unhelpful narrative in academia. “There’s this idea that you must choose between a successful PhD or having a personal life. This is a false dichotomy, and a problematic attitude.” Instead, she reminds her mentees that “graduate school is a marathon, not a sprint,” encouraging them to place importance not only on their research, but also on their mental and physical well-being.

This set of values shines through within her lab climate as a whole. Students describe support for flexible scheduling and mental health leave, a willingness to reimburse meals during late-night lab sessions, and encouragement during stretches of experimental failure. In addition to these more technical supports, nominators also shared stories of Prescott engaging in the smaller details: prioritizing connection for her students, celebrating their milestones, organizing lab retreats, and fostering a culture where people feel valued beyond their productivity.

Students recognize Prescott as a safe haven within the often complex and challenging world of research. Joining Prescott’s lab was a turning point for one student who was recovering from a damaging prior mentorship experience. They arrived uncertain, struggling to trust faculty and questioning whether they belonged in science at all. Prescott met them with empathy and professionalism, offering patience and trust not just in their work, but in them as a person. They describe steady support that, over time, helped them “fall back in love with science” and envision a future they had nearly abandoned.

Prescott draws inspiration from the mentorship she received early in her career. As a trainee, she had mentors who helped her believe that she could succeed. Now in a mentoring role herself, she does her best to pass this sense of confidence on to her advisees.

She is intentional about creating space where students can grow without fear. From their very first meetings, one nominator wrote, Prescott emphasized that “graduate school is a place for learning and curiosity.” They never felt judged for not knowing something; instead, they were encouraged to ask questions, share ideas, and take intellectual risks. That environment, the student explained, allowed them to grow into their scientific identity with confidence.

Prescott reinforces this message often. Success, she tells students, grows from effort, learning, and persistence, rather than from fixed traits. When working with students, she does her best to reframe failure as part of the process, emphasizing its importance within the scientific journey. Through these avenues, she cultivates a lab culture where nominators are challenged to think boldly while feeling genuinely supported, and where her students are seen not only as researchers, but as whole people.

Advocacy beyond the bench

Prescott’s commitment to caring extends well beyond day-to-day lab work. Her nominators relate that she actively supports her students’ professional development, encouraging them to pursue writing projects, certificates, internships, leadership roles, and community engagement.

Nominators also highlight Prescott’s focus on supporting underserved communities within the field as a whole. Students highlight her involvement with Graduate Women in Biology (GwiBio), where she volunteered as a speaker for the “Glass Shards” series. Her talk “Failure as the Path to Success,” in which she candidly shared pivots and setbacks in her own career, was described as one of the organization’s most impactful sessions. 

Her dedication to inclusion is equally evident in her mentorship of scholars whose role in her lab is more temporary.  She welcomes international visiting scholars, temporary lab techs, and undergraduate interns in the MIT Summer Research Program. When one intern encountered barriers at their home institution, Prescott ensured they had a continued research home in her lab at MIT. These additional resources allowed them to complete their undergraduate thesis and graduate on time from their university.

Prescott says that she views mentorship as an evolving practice, regularly soliciting feedback from her students. Effective leadership, in her view, grows from mutual trust and open communication.

For many nominators, Prescott’s impact extends beyond their careers. “She has taught me what positive and supportive mentoring relationships look like,” one student reflected. “When I think about the type of mentor I want to be, I hope I can emulate the ways in which she supports and guides nominators to develop their scientific independence and confidence.”

In lifting up the people behind the science as thoughtfully as the science itself, Sara Prescott demonstrates that the most enduring legacy of a mentor is not only the discoveries from their lab, but the composure and courage their advisees carry forward.