Gautam Goel

Postdoctoral Researcher, UC Berkeley

Gautam is a postdoctoral scholar at the Simons Institute, where he is part of the machine learning pod. His research interests include online learning, learning theory, signal processing and data-driven 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 graduate work was supported by a National Science Foundation Graduate Research Fellowship and an Amazon AI4Science Fellowship. 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.

Program Visits

Data-Driven Decision Processes, Fall 2022, Visiting Postdoc
Online Learning, Statistical Learning Theory, Control