Who we are
We come from countries around the world to form a community of humans focused on the responsible development of AI. At MIT and IBM Research, we share a “mind and hand” commitment to the scientific method grounded in the practical pursuit of solving the world’s biggest problems.
The team at IBM Research Cambridge in Kendall Square.
Leadership
The MIT-IBM Watson AI Lab is lead by MIT Chair, MIT Provost and Vannevar Bush Professor of Electrical Engineering and Computer Science Anantha Chandrakasan; Sriram Raghavan, IBM Chair and Vice President at IBM Research AI; and MIT Co-chair and MIT Stephen A. Schwarzman College of Computing Dean Dan Huttenlocher. David Cox of IBM Research and Aude Oliva of MIT co-direct the Lab. Each of the Lab’s projects is jointly proposed and executed by IBM researchers and MIT faculty members. The MIT-IBM steering committee is composed of Co-chairs David Cox and Aude Oliva, head of AI+D in the MIT Schwarzman College of Computing Antonio Torralba, Jerry McAfee Professor in Engineering at MIT Elsa A. Olivetti, Catalyst Strategy & Operations, Cambridge Senior Location Executive (SLE) Adriane Mullins, and Vice President of IBM Research Exploratory Science Jeff Welser.
Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab, director of strategic industry engagement in the MIT Schwarzman College of Computing, and a senior research scientist at MIT CSAIL, working on natural and artificial intelligence .
David Cox is the IBM director the MIT-IBM Watson AI Lab and the VP for Foundational AI at IBM Research. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the Lab’s work in neuro-symbolic AI and other key areas while leading the Lab’s IBM team in Cambridge, MA.
Anantha Chandrakasan is the MIT chair of the MIT-IBM Watson AI Lab, MIT provost, and the Vannevar Bush Professor of Electrical Engineering and Computer Science. His research focuses on making electronic circuits more energy efficient.
Sriram Raghavan is the IBM chair of the MIT-IBM Watson AI Lab and vice president at IBM Research for AI. He is responsible for establishing and executing a wide-ranging research agenda that spans foundational and applied artificial intelligence.
Daniel Huttenlocher is the MIT co-chair of the MIT-IBM Watson AI Lab, dean of the MIT Schwarzman College of Computing, and the Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science. He is recognized for his work in computer vision, social media, and understanding artificial intelligence .
People
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Srinivasan Arunachalam Takashi Ando Navid Azizan Ramon Fernandez Astudillo Faez Ahmed Jacob Andreas Pulkit Agrawal Masataro Asai Lisa AminiC
Andrew Cross Guy Cohen Pin-Yu Chen Isaac Chuang Shiyu Chang John Cohn David Cox Anantha ChandrakasanG
Ankit Gupta Alexandru Gheorghiu William H. Green Brian Goehring Marzyeh Ghassemi Negin Golrezaei Emily Goldman Polina Golland James Glass Dan Gutfreund Chuang GanH
Ruonan Han Zhang-Wei Hong Pavithra Harsha Kaiming He Naoise Holohan Anette “Peko” Hosoi Lauren Hinkel Daniel Huttenlocher Aram Harrow Song HanM
Sendhil Mullainathan Adriane Mullins Mauro Martino Adriana Meza Soria Wojciech Matusik Liz McShane Louis Mandel Ian Molloy Rahul Mazumder Youssef MrouehP
Emily Pritchett Pablo Parrilo Srinivasan Parthasarathy Dirk Pfeiffer Georgia Perakis Rameswar PandaR
Bharat Runwal Sriram Raghavan Patrick Rall John Rozen Jonathan Ragan-Kelley Frances Ross Giuseppe RomanoS
Vadim Sheinin Nir Shavit Partha Suryanarayanan Paul Solomon Wei Sun Tess Smidt Julian Shun Jonathan Z Sun Samantha Smiley Kate Soule Devavrat Shah Mark Squillante Peter Shor Armando Solar-Lezama Julie Shah David Sontag Prasanna Sattigeri Justin Solomon Hendrik Strobelt Akash SrivastavaAI Hardware
Ruonan Han Guy Cohen John Rozen Paul Solomon Teodor Todorov Dirk Pfeiffer Jonathan Z Sun Jesús del Alamo John CohnAI Safety
Nathan FultonAlgorithm Design
Tess SmidtAutoML
Armando Solar-LezamaAutonomous Systems
Chuchu FanCausal Inference
Caroline UhlerComputational Design
Faez AhmedComputational Social Science
Sendhil MullainathanComputational neuroscience
James KozloskiComputer Vision
Sara Beery Rameswar Panda Rogerio Feris Daniel Huttenlocher Dan Gutfreund Aude Oliva Antonio TorralbaCybersecurity
Ian MolloyDeep Learning
Kaiming HeExplainability
Hendrik StrobeltFuture of Work
Neil ThompsonMachine Learning
Ankit Gupta Nima Dehmamy Navid Azizan Jacob Andreas Gregory Wornell Rahul Mazumder Una-May O’Reilly Justin Solomon Shiyu ChangMedical Image Analysis
Polina GollandMulti-agent Systems
Asu OzdaglarNatural Language Processing
Ramon Fernandez Astudillo Yoon Kim James Glass Abhishek Bhandwaldar Yang ZhangNeural Symbolic Systems
Brian WilliamsNeuroscience
David CoxOperations
Sriram Raghavan Adriane Mullins Liz McShane Lauren Hinkel Emily Goldman Kate Soule Kenney Ng Lisa AminiOperations Research
Markus Ettl Pavithra Harsha Y. Karen Zheng Retsef Levi Negin Golrezaei Georgia PerakisOptimization
Pablo Parrilo Srinivasan Parthasarathy Gabriele Farina Wei Sun Dimitris Bertsimas Mark SquillantePhysics
Takashi AndoPrivacy
Naoise HolohanProgramming Languages
Louis MandelQuantum Computing
Alexandru Gheorghiu Srinivasan Arunachalam Emily Pritchett Andrew Cross Anand Natarajan Hari Krovi Patrick Rall Peter Shor Isaac Chuang Aram HarrowSoftware Engineering
Veronique DemersStatistics
Devavrat ShahTransfer Learning
Prasanna Sattigeri