Howdy! I am a PhD Student in Mechanical Engineering at the University of California at Berkeley. I am a member of the ICON Lab, advised by Dr. Negar Mehr. My research focuses on learning intricate multi-robot behavior for safety-critical environments, with an emphasis on safe reinforcement learning and multiagent coordination. My latest publications are available on Google Scholar. In recognition of my recent work, I was awarded the NSF GRFP in 2024. Prior to beginning my graduate studies, I earned my B.S. in Computational Engineering from the University of Texas at Austin.

News

Dec 19, 2024 Our paper titled Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment got accepted at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2025!
Jul 24, 2024 Our paper titled Learning to Provably Satisfy High Relative Degree Constraints for Black-Box Systems got accepted at the 2024 Conference on Decision and Control (CDC)!
Jul 01, 2024 Our paper titled Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024!
May 15, 2024 Our paper titled POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints got accepted at the Robotics: Science and Systems (RSS) 2024!
Apr 04, 2024 I was awarded the National Science Foundation Graduate Research Fellowship (NSF GRFP)!