About

I’m a CS PhD student in AI Robotics at UC Berkeley within the BAIR (Berkeley Artificial Intelligence Research) group. I am currently advised by Shankar Sastry.

My current research interests are in applied autonomy, sim-to-real and real-to-sim transfer, and agentic AI for adaptive robotics. I am interested in investigating methodologies that bridge high-fidelity simulation with physical deployment and in leveraging edge agentic AI to enhance the adaptive capabilities of robotic systems in dynamic environments.

I currently serve as Team Manager and Simulation Lead for AI Racing Tech. I helped found the Berkeley branch of the inter-university collaboration in 2021. In head to head adversarial racing head-to-head at speeds of over 160mph, our team placed 2nd in the 2022 Indy Autonomous Challenge at Texas Motor Speedway, 3rd at CES Las Vegas in 2023, and 1st at CES Las Vegas in 2025 press release

Prior to my PhD, I was Berkeley Staff and worked for two years as a Technical Program Manager and Lab Manager with UC Berkeley’s ROAR (Robot Open Autonomous Racing) group under Allen Yang. I managed DARPA-funded research initiatives including TIAMAT and ANSR under Professor Shankar Sastry.

Prior to grad school, I spent three years as a DevOps and Test Engineer at Rockwell Automation, working in Industrial Automation for Manufacturing.

Open to collaborating — always happy to chat! Also always open to adding new friends on goodreads.