Phillip Isola is an associate professor in EECS at MIT.
He studies topics in artificial intelligence, such as machine learning, computer vision, and robotics.
He completed his Ph.D. in Brain & Cognitive Sciences at MIT, and has since spent time at UC Berkeley, OpenAI, and Google Research.
His work has particularly impacted generative AI and self-supervised representation learning. Dr. Isola's research has
been recognized by a Google Faculty Research Award, a PAMI Young Researcher Award, a Samsung AI Researcher of the Year Award,
a Packard Fellowship, and a Sloan Fellowship. His teaching has been recognized by the Ruth and Joel Spira Award for
Distinguished Teaching and the Burgess (1952) & Elizabeth Jamieson Prize for Excellence in Teaching.
His current research focuses on trying to scientifically understand fundamental principles of intelligence.
Accessibility