Josh Tenenbaum is Professor of Computational Cognitive Science at MIT in the Department of Brain and Cognitive Sciences,
the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Center for Brains, Minds and Machines (CBMM).
He received his PhD from MIT in 1999, and taught at Stanford from 1999 to 2002. His long-term goal is to reverse-engineer
intelligence in the human mind and brain, and use these insights to engineer more human-like machine intelligence. His
current research focuses on the development of common sense in children and machines, the neural basis of common sense,
and models of learning as Bayesian program synthesis. His work has been published in Science, Nature, PNAS, and many
other leading journals, and recognized with awards at conferences in Cognitive Science, Computer Vision, Neural Information
Processing Systems, Reinforcement Learning and Decision Making, and Robotics. He is the recipient of the Distinguished
Scientific Award for Early Career Contributions in Psychology from the American Psychological Association (2008), the
Troland Research Award from the National Academy of Sciences (2011), the Howard Crosby Warren Medal from the Society of
Experimental Psychologists (2016), the R&D Magazine Innovator of the Year award (2018), and a MacArthur Fellowship (2019).
He is a fellow of the Cognitive Science Society, the Society for Experimental Psychologists, and a member of the American
Academy of Arts and Sciences.