Gautam Goel
Postdoctoral Researcher,
Simons Institute, UC Berkeley
Gautam is a postdoctoral scholar in the Machine Learning Research Pod at the Simons Institute for the Theory of Computing. His research interests include interactive learning and deep learning theory. He is particularly interested in neural sequence models and neural scaling laws, nonconvex optimization, and applications of deep learning theory in reinforcement learning and control.
Before joining Berkeley, Gautam earned his PhD in the Computing and Mathematical Sciences (CMS) department at Caltech, where he was advised by Babak Hassibi. His thesis was awarded the Bhansali Family Doctoral Prize in Computer Science, which is awarded by the CMS department to a single outstanding dissertation in computer science each year.