Bio: David Fridovich-Keil, University of Texas at Austin

David Fridovich-Keil is an assistant professor of aerospace engineering at the University of Texas at Austin. Fridovich-Keil's research investigates a wide variety of multi-agent strategic decision-making problems, and focuses on establishing game-theoretic models of these interactions, inverting those models to infer agents' intentions from data, and leveraging that information to guide future interactions. A key aim of Fridovich-Keil's recent work has been to integrate these capabilities with generative machine learning by leveraging fundamental connections with optimization theory and differentiable programming. Fridovich-Keil is the recipient of an NSF Graduate Research Fellowship and an NSF CAREER award.