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MIT AI Research List
A Gateway to AI Experts at MIT
The MIT AI Research List provides an overview of faculty, researchers, and affiliates involved in artificial intelligence and related fields across various departments and labs at the Massachusetts Institute of Technology (MIT). The list includes individuals from the MIT Sloan School of Management, the MIT Media Lab, and the MIT Computer Science & Artificial Intelligence Laboratory (CSAIL), among others. Key areas of research and expertise include natural language processing, machine learning, computational biology, human-computer interaction, and robotics. Several researchers focus on applications in healthcare, social media ecosystems, and educational technologies, with projects ranging from designing novel proteins to developing AI-curriculum for K-12 students. The list also highlights individuals working on the ethical, social, and creative aspects of AI technology.
Research List
Name
DLC
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Paul McDonagh-Smith
MIT Sloan School of Management
Sidhanth Mohanty
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
D. Fox Harrell
AI, systems for social change and creative expressionPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Alan Oppenheim
MIT Artificial Intelligence + Decision-making (AI+D)
Deb Roy
Roy is Professor of Media Arts and Sciences at MIT where he directs the MIT Center for Constructive Communication. He leads research in applied machine learning and human-machine system design with applications in understanding large scale social media ecosystems and designing communication tools and social networks.
MIT Media Lab
Hamsa Balakrishnan
Affiliate Member
MIT Laboratory for Information and Decision Systems (LIDS)
David Karger
Helping people manage informationPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Vincent Chan
MIT Artificial Intelligence + Decision-making (AI+D)
Tamara Broderick
Machine learning, statistics, Bayesian methods, inferencePI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
MIT Laboratory for Information and Decision Systems (LIDS)
Bonnie Berger
Computational biology, genomicsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Joseph Jacobson
His lab is currently focused on the coupling of Machine Learning and AI together with high throughput synthesis and test to design novel proteins and small molecules for a range of applications as well as projects in molecular scale device fabrication.
MIT Media Lab
Sarah Cen
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Dave Gifford
Computational biology, genomics, machine learningPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Ted Adelson
Vision, touch sensing, roboticsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Pablo Parrilo
MIT Artificial Intelligence + Decision-making (AI+D)
Munther Dahleh
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Artificial Intelligence + Decision-making (AI+D)
Yury Polyanskiy
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Artificial Intelligence + Decision-making (AI+D)
Marija Ilic
LIDS PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
David Kim
David is a software developer at MIT App Inventor. He is interested in the question “What do we need to create so that kids can learn technology with ease?”. David is working on the topic of Conversational AI and building no-code platforms. Other than developing, David enjoys interacting and guiding students to fulfill their goal at App Inventor.
Responsible AI for Social Empowerment and Education
Jacob Andreas
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Vikash Mansinghka
MIT-IBM Watson AI Lab
Kuikui Liu
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Ruth Rosenholtz
Human vision and its applicationsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Alex ‘Sandy’ Pentland
Professor Alex ‘Sandy’ Pentland directs MIT Connection Science, an MIT-wide initiative, and previously helped create and direct the MIT Media Lab and the Media Lab Asia in India. He is one of the most-cited computational scientists in the world, and Forbes declared him one of the “7 most powerful data scientists in the world”
MIT Media Lab
Peter Chen Chen
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Arthur Berger
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Duane Boning
MIT Artificial Intelligence + Decision-making (AI+D)
Luca Carlone
LIDS Faculty/PI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Laboratory for Information and Decision Systems (LIDS)
Victor Dorobantu
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Manya Ghobadi
Networks, Systems, HardwarePI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
William Lehr
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Aude Oliva
Vision, perception/cognition, cognitive neurosciencePI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Sukwoong Choi
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Emanuele Del Sozzo
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Sam Madden
Systems for processing and manipulating dataPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Andrei Barbu
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Yuan Gong
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Pulkit Agrawal
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
MIT Laboratory for Information and Decision Systems (LIDS)
Siddharth Ancha
Postdoctoral Researcher in Robotics, Machine Learning and AI.
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Justin Reich
Comparative Media Studies (CMS)
Tommi Jaakkola
Machine learning, natural language processing, genomicsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Sam Hopkins
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Ramesh Raskar
His focus is on Machine Learning and Imaging for health and sustainability. They span research in physical (e.g., sensors, health-tech), digital (e.g., automated and privacy-aware machine learning) and global (e.g., geomaps, autonomous mobility) domains
MIT Media Lab
Berthold Horn
Vision, computational imagingPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
David YJ Kim
Software Developer @ App Inventor
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jiahui Liu
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Christopher Tanner
MIT Artificial Intelligence + Decision-making (AI+D)
Stephen Bates
LIDS Faculty/PI
MIT Artificial Intelligence + Decision-making (AI+D)
MIT Laboratory for Information and Decision Systems (LIDS)
George Verghese
MIT Artificial Intelligence + Decision-making (AI+D)
Una-May O’Reilly
Applied AI and ML, Cyber and Information SecurityPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Vasha DuTell
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Evan Patton
Evan is the Lead Software Engineer at MIT App Inventor. He aims to help App Inventor users realize the full potential of their app ideas through the development of new components and features to aid in collaboration, rich data collection and visualization, and efficiency. His research interests include real-time collaboration, Internet of Things, and applications of artificial intelligence to facilitate mobile app development. Evan also oversees the development of the MIT Punya project to extend App Inventor with semantic capabilities for healthcare and humanitarian causes. He holds a Ph.D. in Computer Science from Rensselaer Polytechnic Institute.
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Responsible AI for Social Empowerment and Education
Jim Glass
speech and language processingPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Wensu Li
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Ron Kikinis
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Philippe Rigollet
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Ronitt Rubinfeld
Theory, algorithmsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Stephen Moskal
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Erik Hemberg
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jeff Freilich
Jeff has been at MIT for over twelve years working to develop and nurture research ties between industry and academia, as well as developing technical online courses. Previously, he’s worked in R&D, product management, marketing and business development roles in industry. Jeff holds a
. in mechanical engineering from Cornell University and a
. in mechanical engineering from the Ben-Gurion University of the Negev. He also holds a
. in management from Boston University.Responsible AI for Social Empowerment and Education
Justin Solomon
MIT Artificial Intelligence + Decision-making (AI+D)
David Simchi-Levi
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Zach Patterson
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Suvrit Sra
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Artificial Intelligence + Decision-making (AI+D)
Antonio Torralba
MIT Artificial Intelligence + Decision-making (AI+D)
Renee Richardson Gosline
MIT Sloan School of Management
Danielle Li
Faculty Research Fellow at the National Bureau of Economic Research
MIT Sloan School of Management
Neel Dey
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Norman Margolus
Informational foundations of physics
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Dylan Hadfield-Menell
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Sara Beery
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Anantha Chandrakasan
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Patrick Jaillet
MIT Artificial Intelligence + Decision-making (AI+D)
Dimitri Bertsekas
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Erfan Aasi
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Dina Katabi
Wireless, networks, machine learningPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Daniella DiPaola
Daniella DiPaola is a MS graduate research assistant with expertise in human factors, user-centered design, STEM learning technologies for children. She has worked as a researcher in the consumer robotics industry, focusing on human-robot interaction paradigms in the home, long-term livability, and robots in the lives of children and older adults. Her research interests include understanding the ethical, social, and emotional implications of technology. She is currently working on AI + Ethics curriculum for K-12 students.
Responsible AI for Social Empowerment and Education
Benjamin Billot
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
William D. Oliver
MIT Artificial Intelligence + Decision-making (AI+D)
Changwan Hong
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Rama Ramakrishnan
MIT Sloan School of Management
Alexandre Megretski
MIT Artificial Intelligence + Decision-making (AI+D)
Guangyu Robert Yang
MIT Artificial Intelligence + Decision-making (AI+D)
Hae Won Park
Hae Won Park is an expert in Social Robotics and is a Principal Investigator of the Social Robot Companions Program. Her research focuses on socio-emotive AI and machine learning applied to the personalization of social robots that support long-term interaction with people. For this project, she develops peer-like social robots that play educational games with young children to foster literacy and language skills as well as positive learning attitudes.
Responsible AI for Social Empowerment and Education
Ali Jadbabaie
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Abby Everett Jaques
Abby Everett Jaques, PhD '18, is a postdoctoral associate in MIT Philosophy and serves as the Ethics of AI Project Lead for the MIT Quest for Intelligence. She is also a Research Fellow in Digital Ethics at the Jain Family Institute, a think tank in New York. Her research is centered in moral and political philosophy and the philosophy of action — the areas where we ask, “What are we doing?” and “What should we do?” She is particularly interested in our relationship to technology and hopes to help society figure out what to do about AI before AI manages to decide for itself.Ethics of Technology,” within MIT’s Department of Linguistics and Philosophy
Linguistics and Philosophy
David Froelicher
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Yoon Kim
Natural language processing, machine learningPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Aleksander Madry
Theory, algorithms, optimization, robust and reliable MLPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Andrew Lo
Charles E. and Susan T. Harris Professor, CSAIL Principal InvestigatorPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Joshua Rountree
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Gabriele Farina
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Krishna Jatavallabhula
Invertible multisensory world models for perception, reasoning, action
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Priya Donti
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Artificial Intelligence + Decision-making (AI+D)
Yufeng (Kevin) Chen
MIT Artificial Intelligence + Decision-making (AI+D)
Asu Ozdaglar
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Victor Zue
MIT Artificial Intelligence + Decision-making (AI+D)
Joseph DelPreto
Works on human-robot interaction using muscle and brain signals.
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Russell Tedrake
MIT Artificial Intelligence + Decision-making (AI+D)
Neerav Karani
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Omar Costilla-Reyes
AI for code and science
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Chunwei Liu
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Mohammad Alizadeh
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Silvio Micali
Cryptography, cybersecurity, zero-knowledge proofsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Amar Gupta
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Vincent Sitzmann
MIT Artificial Intelligence + Decision-making (AI+D)
Rosalind W. Picard
founder and director of the Affective Computing research group at the MIT Media Lab, founding faculty chair of MIT’s MindHandHeart Initiative, and a faculty member of the MIT Center for Neurobiological Engineering. She has co-founded two companies: Affectiva (now part of Smart Eye), providing emotion AI technologies now used by more than 25% of the Global Fortune 500, and Empatica, providing wearable sensors and analytics to improve health. Starting from inventions by Picard and her team, Empatica created the first AI-based smart watch cleared by FDA (in Neurology for monitoring seizures), helping alert to bring potentially life-saving help for people with epilepsy.
MIT Media Lab
Christina Delimitrou
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Ainesh Bakshi
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Navid Azizan
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Daron Acemoglu
Economics/Sloan
Anant Agarwal
Systems, architecture, online learning, edXPI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
John Guttag
Machine learning, medicine, data-driven inferencePI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Wojciech Matusik
Graphics, vision, fabrication, robotics, hciPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Irwin Jungreis
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Muriel Médard
MIT Artificial Intelligence + Decision-making (AI+D)
Jonathan How
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Chuchu Fan
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Ronald L. Rivest
Cryptography, cybersecurity, RSA public-key encryptionPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Michel Goemans
Discrete algorithms, combinatorial optimizationPI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Nicholas Roy
Robotics, autonomy, artificial intelligence, motion planningPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Simon Johnson
Johnson’s most recent book, with Daron Acemoglu, Power and Progress: Our 1000-Year Struggle Over Technology and Prosperity, explores the history and economics of major technological transformations up to and including the latest developments in Artificial Intelligence
MIT Sloan School of Management
Alexander Amini
Postdoctoral Researcher. Deep Learning; Robotics
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Haoshu Fang
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Hal Abelson
Abelson is a pioneer of constructionist learning and computational thinking. He has developed tools and programming languages to help students learn about AI and computer science. App Inventor empowers people with little programming experience to write mobile phone applications. His team is expanding App Inventor to help students learn about AI and develop AI-enabled mobile apps.
Responsible AI for Social Empowerment and Education
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Alexander Rakhlin
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Marzyeh Ghassemi
Marzyeh Ghassemi, PhDPI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Zunpeng Liu
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
David Gamarnik
Affiliate Member
MIT Laboratory for Information and Decision Systems (LIDS)
Martin Wainwright
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Artificial Intelligence + Decision-making (AI+D)
Jungseok Hong
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Andrew Lippman
He heads the Lab’s Viral Communications research group, which currently is creating interactive systems using analytic and generative AI to realize the long-held Media Lab dream of media that “knows” its content.
MIT Media Lab
George F Westerman
MIT Sloan School of Management
Dan Huttenlocher
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Albert R. Meyer
Programming languages, theory, complexity, online educationPI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Anand Natarajan
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Alaa Maalouf
Postdoctoral Researcher. Deep/Machine Learning; Big Data; Robotics
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jeff Perkins
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Tim Kraska
Systems for ML, ML for Systems, Interactive Data ExplorationPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
David Sontag
MIT Artificial Intelligence + Decision-making (AI+D)
Regina Barzilay
Natural language processing, machine learningPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Maria Ramos Gonzalez
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Yandong Ji
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Gerald Sussman
MIT Artificial Intelligence + Decision-making (AI+D)
Erik Demaine
Algorithms, theory, computational geometry, complexityPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Hongyin Luo
Natural language processing, self training, efficient AI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Michael Cafarella
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Stefanie Mueller
Human-computer interaction, fabrication, hardware, robotics.PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Thomas Heldt
MIT Artificial Intelligence + Decision-making (AI+D)
Vinod Vaikuntanathan
MIT Artificial Intelligence + Decision-making (AI+D)
Anuradha Annaswamy
Affiliate Member
MIT Laboratory for Information and Decision Systems (LIDS)
Hamed Okhravi
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Dirk Englund
MIT Artificial Intelligence + Decision-making (AI+D)
Nikolaos Karalias
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jeremy Bernstein
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Juan Iglesias
Research affiliate @ CSAIL. Part-time lecturer @ UCL & MGH (Martinos)
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Rob Miller
Human-computer interaction, online education, software developmentPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Henry Lieberman
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Lalana Kagal
Privacy, web decentralization, distributed dataPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Eric Klopfer
Klopfer is an expert in serious game design to promote student engagement and learning in STEM. His work uses a design based research methodology to span the K-12 educational technology ecosystem, from design and development of new technologies to professional development and implementation to prepare the next generation of STEM educators. He is Director of the Scheller Teacher Education Program
Responsible AI for Social Empowerment and Education
Jeffrey Shapiro
MIT Artificial Intelligence + Decision-making (AI+D)
Jorge Mendez
Postdoctoral Fellow at the Learning & Intelligent Systems Group
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Phillip John Isola
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jae Lim
MIT Artificial Intelligence + Decision-making (AI+D)
Ryan Williams
MIT Artificial Intelligence + Decision-making (AI+D)
Jonathan Ruane
He cofounded a number of pioneering graduate courses at MIT in the areas of Artificial Intelligence and Robotics (with Professor Simon Johnson) and Quantum Computing (with Professor William Oliver).
MIT Sloan School of Management
Gary Borchardt
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Samuel Madden
MIT Artificial Intelligence + Decision-making (AI+D)
Ashia Wilson
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Daniela Rus
MIT Artificial Intelligence + Decision-making (AI+D)
Ju Li
Missions: Brain Guided Intelligence Hardware | Mechanical, electrochemical, and transport behaviors of materials as well as novel means of energy storage and conversion
Department of Materials Science and Engineering
Byungchul Kim
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jonathan Ragan-Kelley
Programming languages and systems for graphics and visual computingPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Ramin Hasani
AI Scientist
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Boris Katz
Natural language processingPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Youssef Marzouk
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Virginia Vassilevska Williams
MIT Artificial Intelligence + Decision-making (AI+D)
Leandro Agudelo
Systems Genomics, CompBio, Topological Integrative Biology, Biology
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Martin Rinard
Systems, programming languages and verificationPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Cathy Wu
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Rebecca Wenjing Lyu
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Alan Edelman
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Manolis Kellis
Computational biology, computational genomicsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Joel Emer
Architecture, performance modelingPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Nidhi Seethapathi
MIT Artificial Intelligence + Decision-making (AI+D)
Mengyuan Li
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Emilie Josephs
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Mike Hagenow
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Luca Daniel
MIT Artificial Intelligence + Decision-making (AI+D)
Deblina Sarkar
The two main research directions in her group are:
MIT Media Lab
Gregory Wornell
MIT Artificial Intelligence + Decision-making (AI+D)
Hari Balakrishnan
Networks, wireless, mobile systems, data managementPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jennifer Corbett
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Nauman Dawalatabad
Postdoc
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Edward Jin
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jayson Lynch
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Nancy Lynch
Theory, algorithms, distributed systems, real-time computingPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Collin Stultz
MIT Artificial Intelligence + Decision-making (AI+D)
Selim Tezel
Selim is a former K-12 mathematics teacher who has taught overseas and in the US for 22 years, exploring intersections of technology and playful constructionist pedagogies in the classroom. At MIT App inventor he leads an NSF funded collaboration with YR Media (former Youth Radio) on the Youth Mobile Power series and the Outsmarting Artificial Intelligence project as well as coordinating international contests such as the App of the Month, Coronavirus App Challenge and the annual virtual Hackathon
Responsible AI for Social Empowerment and Education
Rodney Brooks
Computer vision, artificial intelligence, roboticsPI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Connor Wilson Coley
MIT Artificial Intelligence + Decision-making (AI+D)
Steven Ceron
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Ankur Moitra
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Tamar Rott Shaham
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
W. Eric L Grimson
already under Eric Grimson
MIT Artificial Intelligence + Decision-making (AI+D)
Ashay Athalye
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Lizhong Zheng
MIT Artificial Intelligence + Decision-making (AI+D)
Sangeeta Bhatia
MIT Artificial Intelligence + Decision-making (AI+D)
Costis Daskalakis
Algorithms, Economics, Game Theory, Statistics, Machine LearningPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Ben Lengerich
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
David Gifford
MIT Artificial Intelligence + Decision-making (AI+D)
Lingling Fan
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Kalyan Veeramachaneni
LIDS PI
MIT Laboratory for Information and Decision Systems (LIDS)
Jing Kong
MIT Artificial Intelligence + Decision-making (AI+D)
Markus Hecher
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Kate Kellogg
MIT Sloan School of Management
Xiajie Zhang
Xiajie Zhang has worked on various projects in child-robot interaction with a focus on literacy education and has experiences in affective analysis, educational game development, interaction design, and computational HRI. His interest is the intersection of cognitive science and robotics. He is especially interested in studying social cognition and developing human-robot interactions that could provide unique and uplifting experiences for people
Responsible AI for Social Empowerment and Education
Mary Cate Gustafson Quiett
Mary Cate is a curriculum design manager for the STEP Lab and program manager for the Undergraduate Teaching Opportunities Program (UTOP). After earning her B.S. in Secondary Education and Mathematics from DePaul University, Mary Cate assisted, tutored, and taught in a wide range of schools including those in urban, rural, and suburban communities, in public, private, and charter settings. She went on to earn her Masters of Public Affairs from the Goldman School for Public Policy at UC Berkeley. For two years Mary Cate worked as a PLUS Research Fellow for UC Berkeley’s Center for Cities and Schools where she co-designed district policy recommendations with teachers and administrators. Mary Cate welcomes opportunities to flex her co-design, logic, and collaborative leadership skills to help create a more equitable and sustainable education system.
Responsible AI for Social Empowerment and Education
Zachary Ferguson
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Paul Keel
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jesus del Alamo
MacVicar Faculty Fellow
Xtreme Transistors Group
Saman Amarasinghe
Compilers, architectures, software engineeringPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Charles E. Leiserson
Algorithms, parallel computing, performance engineeringPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Christina Bosch
Christina is interested in supporting evidence-based practices in education and design-based implementation research in schools.
Responsible AI for Social Empowerment and Education
Alan Willsky
MIT Artificial Intelligence + Decision-making (AI+D)
Christopher Harshaw
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Mitra Mohtarami
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Bruce Tidor
MIT Artificial Intelligence + Decision-making (AI+D)
Mardavij Roozbehani
LIDS PI
MIT Laboratory for Information and Decision Systems (LIDS)
Vivienne Sze
MIT Artificial Intelligence + Decision-making (AI+D)
Jacob White
MIT Artificial Intelligence + Decision-making (AI+D)
Nur Ahmed
Studies Economics of Innovation (AI)
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jonathan Rosenfeld
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Tushar Krishna
MIT Artificial Intelligence + Decision-making (AI+D)
James DiCarlo
Director, MIT Quest for Intelligence, Co-Director, Center for Brains, Minds, and Machines, Missions: Embodied Intelligence
McGovern Institute for Brain Research
Elfar Adalsteinsson
MIT Artificial Intelligence + Decision-making (AI+D)
Polina Golland
Vision, medical imaging, statistical inferencePI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Armando Solar-Lezama
MIT Artificial Intelligence + Decision-making (AI+D)
Kaiming He
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Esty Kelman
A FODSI postdoctoral fellow @CSAIL, MIT and @CS and CDS, BU.
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Safinah Ali
Safinah is a PhD research assistant in the Personal Robots Group at the MIT Media Lab. Her work focuses on leveraging child-robot interaction to enhance early childhood literacy as well as developing children’s learning mindsets such as creativity, growth mindset and curiosity. Her recent work involves designing game interactions that afford children and embodied robots co-create art. Her previous work has revolved around educational game design, assistive technology and human-computer interaction.
Responsible AI for Social Empowerment and Education
Cynthia Breazeal
Breazeal leads RAISE to advance research and innovation at the intersection of AI, social empowerment, and education and to foster diversity and inclusivity in an AI literate society. Her research investigates new ways for K-12 students to learn about AI concepts, practices and ethics by designing, programming, training and interacting with robots, AI toolkits and other technologies. Her research also develops personalized learning companions for language, literacy and social-emotional development.RAISE / Media Lab
Responsible AI for Social Empowerment and Education
Chao Liu
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Tomaso Poggio
AI, neuroscience, vision, machine learningPI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Song Han
Affiliate Member
MIT Laboratory for Information and Decision Systems (LIDS)
Eytan Modiano
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Tomas Lozano-Perez
Robotics, artificial intelligencePI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Randi Williams
Randi Williams is a PhD graduate research assistant developing new technologies and curriculum for K-12 AI Literacy. She has developed a number of AI education projects, including PopBots, social robot learning companions that teach AI through social interaction. Additionally, she runs studies that investigate children’s relationships with intelligent agents. To address misunderstanding and mistrust of AI, Randi is preparing the next generation to use AI to solve important problems in their communities.
Responsible AI for Social Empowerment and Education
Glen Chou
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Steven Rick
Postdoctoral Research Associate
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Srini Devadas
Architectures, security, computer-aided designPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Fredo Durand
Vision, graphics, computational photographyPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Amy Fox
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Yeshwanth Cherapanamjeri
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Peter Szolovits
MIT Artificial Intelligence + Decision-making (AI+D)
Phillip Isola
MIT Artificial Intelligence + Decision-making (AI+D)
Piotr Indyk
Algorithms, theory, computational geometryPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Devavrat Shah
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Huili Chen
Huili Chen is a PhD graduate research assistant in the Personal Robots group at the MIT Media Lab. Her research interests encompass affective computing, human-robot interaction, machine learning, and psychology. She designs algorithms for social robots that can adaptively support and engage children as empathetic, peer-like companions to facilitate learning outcomes. She also computationally models parent-child interaction dynamics during storytelling
Responsible AI for Social Empowerment and Education
Mitchel Resnick
develops new technologies and activities to engage people (particularly children) in creative learning experiences.
MIT Media Lab
John Fisher
Vision, machine learning, signal processingPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Daniel Jackson
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Antonio Torralba
MIT Artificial Intelligence + Decision-making (AI+D)
Mina Konakovic Lukovic
Graphics, fabrication, geometry, ML, roboticsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Stefanie Jegelka
Machine learningPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
MIT Laboratory for Information and Decision Systems (LIDS)
Dennis Freeman
MIT Artificial Intelligence + Decision-making (AI+D)
Xuhao Chen
Parallel Computer Architecture, Data Mining, Machine Learning
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
John J. Horton
MIT Sloan School of Management
Sarah Wharton
Sarah Wharton is a curriculum designer working in the Scheller Teacher Education Program. Before joining MIT, she taught computer science to middle school students in Cambridge, Massachusetts. She is particularly interested in making computer science education accessible and engaging to students who don’t yet see themselves in STEM
Responsible AI for Social Empowerment and Education
Xikun Han
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Honghao Fu
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Tod Machover
Music and AI
MIT Media Lab
Leslie Kaelbling
Robotics, machine learning, planning, uncertaintyPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
John Tsitsiklis
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Artificial Intelligence + Decision-making (AI+D)
Isaac Chuang
MIT Artificial Intelligence + Decision-making (AI+D)
Rajeev Ram
MIT Artificial Intelligence + Decision-making (AI+D)
Yoon Kim
MIT Artificial Intelligence + Decision-making (AI+D)
Eric Grimson
PI
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Robert Berwick
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
MIT Artificial Intelligence + Decision-making (AI+D)
William Freeman
Vision, machine learning, Bayesian modelingPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Emmanuel Lujan
PhD
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Randall Davis
Human-computer interaction, systems, classic AIPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Sertac Karaman
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Caroline Uhler
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
John Leonard
Robotics, navigation/mapping, self-driving carsPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Jonathan Kelner
Mathematics, algorithms, complexity theoryPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Pattie Maes
She runs the Fluid Interfaces research group, which does research at the intersection of Human Computer Interaction and Artificial Intelligence with a focus on applications in health, wellbeing and learning. Maes is also a faculty member in MIT’s center for Neuro-Biological Engineering. She is particularly interested in the topic of cognitive enhancement, or how wearable, immersive and brain-computer interface systems can actively assist people with issues such as memory, attention, learning, decision making, communication, wellbeing, and sleep.
MIT Media Lab
Michael Carbin
Programming languages and systems.PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
MIT Artificial Intelligence + Decision-making (AI+D)
Luis Videgaray
MIT Sloan School of Management
Arvind Mithal
architecture, parallel computing, programming languagesPI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Guy Bresler
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Saurabh Amin
LIDS Faculty/PI
MIT Laboratory for Information and Decision Systems (LIDS)
Tianlong Chen
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Robert Morris
Parallel and distributed operating systems, software, storagePI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Henry Corrigan-Gibbs
PI, CORE/DUAL
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
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