Phillip Isola is the Class of 1948 Career Development associate professor in EECS at MIT.
He studies computer vision, machine learning, 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 on "image translation" models,
such as pix2pix and CycleGAN, has been widely used in both industry and academia and also by artists and hobbyists.
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.