Somil Bansal is an Assistant Professor in the Aeronautics and Astronautics (AA) department at Stanford University, where he focuses on safe autonomy. His research broadly explores the intersection of control theory, machine learning, and computer vision for robotic applications. Specifically, he investigates how machine learning tools can be combined with control theoretic frameworks to develop data-efficient and safe control algorithms for robotic systems.