David Fridovich-Keil

• Assistant Professor, Aerospace Engineering and Engineering Mechanics, UT Austin
  
• Other affilitations: Texas Robotics, Oden Institute, Center for Autonomy
  

dfk@utexas.edu
CV (pdf)

Office
ASE 3.232, 2617 Wichita St
POB 5.320, 201 E 24th St
Austin, TX 78712

Teaching
ASE 330M: Linear System Analysis (Spring 2022-2026)
ASE 381.P/389: Game-Theoretic Modeling of Multi-Agent Systems (Fall 2021-2025)

David Fridovich-Keil directs the Control and Learning for Autonomous Robotics (CLeAR) Laboratory, and is a core member of the Oden Institute for Computational Engineering and Sciences, the Center for Autonomy, and Texas Robotics. He received his B.S.E. in Electrical Engineering from Princeton University and his Ph.D. in Electrical Engineering & Computer Sciences from the University of California, Berkeley. Fridovich-Keil’s research spans optimization, game theory, machine learning, and robotics, with a substantial focus on establishing game-theoretic models of multi-agent strategic 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 techniques 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.