Howdy! I am a PhD Candidate in the Mechanical Engineering Department at the University of California at Berkeley. I perform research within 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 my Google Scholar. In recognition of my recent work, I have been honored with the NSF Graduate Research Fellowship.
Prior to beginning my graduate studies, I earned my B.S. in Computational Engineering from the University of Texas at Austin. During my undergraduate degree, I had the privilege of doing research with Dr. Ufuk Topcu and Dr. Moriba Jah.
Outside of the lab, I enjoy reading science-fiction novels, travelling abroad, and making pizzas for my friends. I am also actively looking for postdoctoral positions for the 2026-2027 session.
Email: [first name][last name] at berkeley dot edu
News
| Jul 15, 2026 | Our paper titled “Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems” has been accepted to the Conference on Decision and Control (CDC) 2026! |
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| Jan 15, 2026 | I gave an invited lightning talk and poster session at the inaugural BIRD Center Workshop 2025. |
| Nov 19, 2025 | I am thrilled to announce that I have successfully passed my qualifying examination and am now officially a PhD Candidate! 🥳 |
| Nov 14, 2025 | I was invited to give a lightning talk and poster session at the Bay Area Robotics Symposium (BARS) 2025, held at Stanford University. |
| Jul 28, 2025 | I co-taught a group of Masters’ students from National Cheng Kung University on AI & Transportation as part of the NCKU-BAIR Summer Program. |
| Jul 17, 2025 | I’ve been invited by Dr. João Sacramento to give a presentation on Multi-Agent Learning at Google Research. The talk will be 50 minutes, followed by a 10-minute Q&A session. |
| Jun 06, 2025 | I had the oppurtunity to present the lightning talk The Blame Game, Evolved: Fine-Tuning LLM Credit Critics for MARL at the Google-BAIR Commons Annual Workshop. |