
Aude Oliva
Cognitive Neuroscientist & Computer Scientist
Senior Research Scientist, CSAIL
Director of Strategic Industry Engagement, MIT Schwarzman College of Computing
MIT Director, MIT-IBM Watson AI Lab
Co-lead, MIT AI Hardware Program
Biography
After a French baccalaureate in Physics and Mathematics, and a B.Sc. in Psychology (minor in Philosophy), Aude Oliva received two M.Sc. degrees—in Experimental Psychology and in Cognitive Science, and a Ph.D from the Institut National Polytechnique of Grenoble, France. She joined the MIT faculty in the Department of Brain and Cognitive Sciences in 2004, the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) in 2012, the leadership of the MIT-IBM Watson AI Lab in 2017 and the MIT College of Computing in 2021. From 2015–2017, she was appointed as an Expert at the National Science Foundation, Directorate of Computer & Information Science and Engineering (CISE) in the areas of Computational Neuroscience, Human and Artificial intelligence. As of October 2021, she is the Director of Strategic Industry Engagement in the leadership of the MIT Schwarzman College of Computing. In this role, she develops and implements strategic relationships between corporate collaborators interested in large-scale, multi-faceted engagements with MIT College of Computing. She serves on the committee on Research Computing and Data, in the VPR MIT Office of Research Computing and Data. See her LinkedIn page.
Her research is cross-disciplinary, spanning cognitive science, cognitive neuroscience and computer science, focusing on topics at the intersection of the three domains. Her work in Computational Perception and Cognition builds on the synergy between human and machine recognition, and how it applies to solving high-level recognition problems like understanding scenes and events, perceiving space, modelling attention, memory, and reasoning. She is a recipient of the National Science Foundation (NSF) CAREER Award in computational neuroscience, a Guggenheim fellowship in computer science, the 2016 Vannevar Bush Faculty Fellowship in cognitive neuroscience, the 2024 Justine and Yves Sergent Award in cognitive neuroscience, and the 2024 Donald O. Hebb Award from the International Neural Network Society. She was an elected Fellow of the Association for Psychological Science, and an Osher Fellow of the Exploratorium, San Francisco. She is currently on the Scientific Advisory Board of the Allen Institute for Artificial Intelligence, and the MIT Press Management Board. See her Google Scholar profile.
Leadership in AI & Executive Positions
Director of Strategic Industry Engagement
Aude Oliva serves as Director of Strategic Industry Engagement in the MIT Stephen A. Schwarzman College of Computing. She develops and implements relationships between the MIT College and corporate collaborators, and interfaces with those interested in large-scale, multi-faceted engagements in computing, comprising research, student support, and community building. This role also involves leading the MIT AI Hardware Program, and the student activities of the MIT Generative AI Impact Consortium. She launched the MIT-Amazon Science Hub, a multi-year collaboration between MIT and Amazon to support innovative research in the fields of AI, robotics and computing, and the MIT-Google Program for Computing Innovation.
In her role as EECS industry officer from 2020-2023, she created the MIT Department of Electrical Engineering & Computer Science (EECS) Alliance program, to promote career opportunities and visibility for EECS students and participating companies. She was also on the leadership of the MIT Quest for Intelligence, launching the initiative in 2018.
MIT Director, MIT-IBM Watson AI Lab
As the MIT director of the MIT-IBM Watson AI Lab—a first-of-its-kind, academic-industrial collaboration focused on AI research—Aude Oliva oversees a portfolio of 50+ annual cross-cutting AI projects, leading to numerous patents, papers, and applications. Over the past eight years, the lab has produced 1200+ refereed publications, leading to 130,000 citations, and a lab h-index of 162. The Lab’s membership program, covering fields from finance and healthcare to international development and construction, allows corporations access to knowledge and tools to roadmap and integrate AI to their business strategies.
Aude Oliva, co-lead, designed and launched this industry-academia consortium in 2021, with the goal to accelerate innovation and technology development in energy efficient computing and hardware-software co-design in the age of AI.
