I am a Machine Learning PhD student at Georgia Tech and a graduate research assistant in the Trustworthy Robotics Lab, advised by Professor Glen Chou. My research focuses on enabling reliable real-world deployment of perception-driven robotic systems and foundation models. I work across three areas: real-time inference and latency coordination, world modeling and spatiotemporal reasoning, and closed-loop uncertainty-aware perception–action systems. My current interests include end-to-end (E2E) networks and vision-language-action (VLA) models for robotics and autonomous driving.

Previously, I was a MSECE student at Georgia Tech, working on efficient and hardware-friendly 3D perception algorithms with Professor Saibal Mukhopadhyay. I graduated from the University of California, Berkeley in 2023 with a Bachelor's degree in Computer Science. In my undergrad years, I explored dense associative memories for robust image classification as part of a summer undergraduate research fellowship experience at Georgia Tech. I was also a research assistant and Rose Hills Fellow in the UC Berkeley Knight Lab, working with Professor Robert Knight on circuit-tracing large language foundation models from a neuroscience perspective.