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 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.
Email: [first name][last name] at berkeley dot edu
News
| Nov 19, 2025 | I am thrilled to announce that I have successfully passed my qualifying examination and am now officially a PhD Candidate! 🥳 |
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| 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. |
| 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. |
| May 22, 2025 | I travelled to Detroit, MI to give a 20-minute presentation at AAMAS on our paper Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment. |
| Apr 10, 2025 | Our paper titled DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories got accepted at the Conference on Robotics: Science and Systems (RSS) 2025! |