Who we are
As a collaborative research team, we focus on foundational science, developing and integrating state-of-the-art AI, algorithms, and quantum computing for today and the future. At MIT and IBM, we are committed to fundamentally rethinking and elevating the capabilities of systems to address real-world challenges.
Leadership
The MIT-IBM Computing Research Lab is chaired by MIT Provost and Vannevar Bush Professor of Electrical Engineering and Computer Science Anantha Chandrakasan, Director of Research at IBM and IBM Fellow Jay Gambetta, 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.
The MIT-IBM Computing Research Lab is also guided by leads in AI, algorithms, and quantum. The AI leads are MIT Associate Professor in Electrical Engineering and Computer Science Jacob Andreas and Principal Research Scientist at IBM Research and the lab’s Science Program Manager Kenney Ng. The algorithms leads are Ford Foundation Professor of Engineering in MIT’s Department of Electrical Engineering and Computer Science Vinod Vaikuntanathan and Senior Research Scientist at IBM Research Vasileios Kalantzis. The quantum leads are MIT Professor of Physics Aram Harrow and Director of IBM’s Quantum Algorithm Centers and the Academic Collaboration Program Hanhee Paik.
Aude Oliva is the MIT director of the MIT-IBM Computing Research 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 Computing Research Lab and the VP, AI Foundations 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 Computing Research Lab, MIT provost, and the Vannevar Bush Professor of Electrical Engineering and Computer Science. His research focuses on making electronic circuits more energy efficient.
Jay Gambetta is IBM chair of the MIT-IBM Computing Research Lab, director of Research at IBM and IBM fellow. He leads IBM’s global research initiatives, spearheading the company’s strategy and vision to develop the future of computing, which includes AI, semiconductors, and quantum computing.
Daniel Huttenlocher is the MIT co-chair of the MIT-IBM Computing Research 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
Paola Cappellaro Andrew Cross Guy Cohen Pin-Yu Chen Isaac Chuang Shiyu Chang John Cohn David Cox Anantha ChandrakasanG
Jay Gambetta Ankit Gupta Alexandru Gheorghiu William H. Green Brian Goehring Marzyeh Ghassemi Negin Golrezaei 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 Youssef MrouehP
Hanhee Paik Emily Pritchett Pablo Parrilo Srinivasan Parthasarathy Dirk Pfeiffer Georgia Perakis Rameswar PandaS
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 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 ThompsonHuman-Computer Interaction
Ja Young LeeMachine Learning
Ankit Gupta Nima Dehmamy Navid Azizan Gregory Wornell Una-May O’Reilly Justin Solomon Shiyu ChangMedical Image Analysis
Polina GollandMulti-agent Systems
Asu OzdaglarNanotechnology
Bilge YildizNatural Language Processing
Ramon Fernandez Astudillo Yoon Kim James Glass Abhishek Bhandwaldar Yang ZhangNeural Symbolic Systems
Brian WilliamsNeuroscience
David CoxOperations 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
Jay Gambetta Alexandru Gheorghiu Srinivasan Arunachalam Emily Pritchett Andrew Cross Anand Natarajan Hari Krovi Patrick Rall Peter Shor Isaac Chuang Aram HarrowQuantum Engineering
Paola CappellaroSoftware Engineering
Veronique DemersStatistics
Devavrat ShahTransfer Learning
Prasanna Sattigeri