Gautam earned his PhD in the Computing and Mathematical Sciences (CMS) department at Caltech, where he was advised by Babak Hassibi. He is broadly interested in machine learning, optimization, and control, especially 1) online optimization and sequential decision-making under uncertainty, and 2) integrating machine learning with dynamics and control. Much of his PhD work has been supported by a National Science Foundation Graduate Research Fellowship and an Amazon AI4Science Fellowship.