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MIT associates chosen as 2024 Schmidt Sciences AI2050 scholarship recipients

MIT academics David Autor, Sara Beery, Gabriele Farina, Marzyeh Ghassemi, Yoon Kim, along with MIT graduates Roger Grosse and David Rolnick, were inducted into the 2024 AI2050 Fellowship group.

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Group of Academics from MIT, including David Autor, Sara Beery, Gabriele Farina, Marzyeh Ghassemi,...
Group of Academics from MIT, including David Autor, Sara Beery, Gabriele Farina, Marzyeh Ghassemi, Yoon Kim, and MIT alumni Roger Grosse and David Rolnick, were selected as AI2050 Fellows for the year 2024.

MIT associates chosen as 2024 Schmidt Sciences AI2050 scholarship recipients

Chatting with the Brainy Mass from MIT

Congrats are in order for five stellar MIT faculty members and two brilliant alumni who recently made the cut for the prestigious 2024 AI2050 Fellows cohort. This honor comes from Schmidt Sciences, the philanthropic pet project of Eric and Wendy Schmidt that cranks up the speed on scientific research.

In partnership with James Manyika, AI2050 steers the ship on addressing the big lemons in AI research. Each fellow will tackle the intriguing question, "It's 2050. AI has been a game-changer for the better. Why and how? What are the major issues we sorted out, and the opportunities and benefits we seized?"

Let's give a big round of applause to the brilliant minds from MIT who made the 2024 AI2050 fellows list:

David Autor, a renowned professor in MIT's Department of Economics, and co-chief of the MIT Shaping the Future of Work Initiative and the National Bureau of Economic Research's Labor Studies Program, scores the AI2050 senior fellow spot. His work delves into the labor market impacts of technological advancements and globalization, shedding light on job polarization, skill demands, earning levels, inequality, and electoral outcomes. His AI2050 project will give a clear picture of how AI interacts with human capabilities to shape employment and earnings. David's exceptional contributions have earned him numerous awards, including the Heinz 25th Special Recognition Award and the NOMIS Distinguished Scientist.

Sara Beery, an assistant professor in the Department of Electronic Engineering and Computer Science (EECS) and a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL), is a fresh face among the early career fellows. Sara's keen interest is in developing computer vision techniques for global-scale environmental and biodiversity monitoring. She works with non-governmental organizations and government agencies to ensure her methods are utilized worldwide. Her dedication to fostering diversity and accessibility in AI research also deserves a shoutout. Sara got her undergraduate degree from Seattle University and a doctorate in computing and mathematical sciences from Caltech, bagging the Amori Prize for her top-notch dissertation.

Gabriele Farina, another assistant professor in EECS, scores an early career fellow spot. Gabriele's research prowess lies at the junction of AI, computer science, operations research, and economics. His expertise includes learning and optimization methods for decisional reasoning, as well as convex-concave saddle point problems. He recently co-authored a study in Science magazine, exploring the use of language models in strategic decision-making. Gabriele boasts a slew of accolades, including a NeurIPS Best Paper Award and an ACM SIGecom Doctoral Dissertation Award.

In addition to Fabio, Marzyeh Ghassemi PhD '17, an associate professor in EECS and the Institute for Medical Engineering and Science, a principal investigator at CSAIL and LIDS, and an affiliate of the Abdul Latif Jameel Clinic for Machine Learning in Health and the Institute for Data, Systems, and Society, is an early career fellow. Marzyeh's Healthy ML Group paves the way for creating robust and fair AI models designed specifically for healthcare settings. Her contributions span from developing socially aware AI systems to improving robust learning techniques, as well as drawing attention-worthy insights in various deployment scenarios with implications for policy, healthcare practice, and equity. Marzyeh has been recognized as one of MIT Technology Review's 35 Innovators Under 35 and has bagged several prestigious awards, including the 2018 Seth J. Teller Award, the 2023 MIT Prize for Open Data, and the Google Research Scholar Award.

Last but certainly not least, Yoon Kim, an assistant professor in EECS, is an early career fellow. Yoon's work covers the interplay between natural language processing and machine learning, touching on efficient training, deploying large-scale models, efficient inference for large language models, neuro-symbolic approaches, and grounded language learning. With affiliations to CSAIL, Yoon completed his doctoral studies in computer science at Harvard University and has earned degrees in data science from New York University, statistics from Columbia University, and math and economics from Cornell University.

Lastly, kudos to Roger Grosse PhD '14, a computer science professor at the University of Toronto, and David Rolnick '12, PhD '18, an assistant professor at Mila-Quebec AI Institute, who also scooped spots as senior and early career fellows, respectively.

While not all MIT-affiliated faculty scored a spot on the 2024 AI2050 list, it's clear that stellar minds like Song Han and Marzyeh Ghassemi are also a part of this fabulous group of AI2050 fellows, focusing on efficient AI computing and machine learning in healthcare, respectively.

  1. The prestigious 2024 AI2050 Fellows cohort includes five faculty members and two alumni from MIT, recognized for their significant contributions in various fields.
  2. David Autor, an esteemed professor at MIT, will work on understanding how AI interacts with human capabilities to shape employment and earnings as a senior fellow.
  3. Sara Beery, an assistant professor at MIT, focuses on global-scale environmental and biodiversity monitoring using computer vision techniques, especially in collaboration with non-governmental organizations and government agencies.
  4. Gabriele Farina, another assistant professor at MIT, specializes in research at the intersection of AI, computer science, operations research, and economics.
  5. Marzyeh Ghassemi, an associate professor at MIT, aims to create robust and fair AI models specifically for healthcare settings through her Healthy ML Group research.
  6. Yoon Kim, an assistant professor at MIT, works on the interplay between natural language processing and machine learning, with a focus on efficient training, large-scale models, efficient inference, and grounded language learning.
  7. Roger Grosse, a computer science professor at the University of Toronto, and David Rolnick, an assistant professor at Mila-Quebec AI Institute, are also part of the prestigious 2024 AI2050 Fellows cohort, recognized for their respective contributions in computing and machine learning.
  8. This scholarly collaboration will help propel the speed of scientific research, focusing on using AI to address major concerns in environment, health, technology, policy, education, and other critical areas.
  9. The 2024 AI2050 Fellows cohort may bring innovative solutions to pressing issues such as job polarization, labor market impacts, and the development of AI for healthcare, biodiversity monitoring, natural language processing, and more.
  10. The progress made by these talented individuals promises a brighter future for research, education, and societal advancement, as they push the boundaries of AI technology to improve human life and project their learnings into science, policy, mental health, and engineering.

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