Phillip Isola is the Class of 1948 Career Development associate professor in EECS at MIT.
He studies computer vision, machine learning, robotics, and AI. 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. His current research focuses
on trying to scientifically understand human-like intelligence.
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