About

Actively looking for research internship (Summer 2026) and full-time positions in perception, autonomy, and embodied AI. Feel free to reach out!

I am a Ph.D. student at the University of California, Irvine, advised by Prof. Marco Levorato. My research sits at the intersection of uncertainty-aware perception and sequential decision-making for autonomous systems, asking how a machine can act reliably when the world it observes is incomplete, noisy, or constantly shifting.

I design systems that do not merely perceive, but know what they do not know. My work connects multi-sensor fusion with downstream planning and control, building closed-loop pipelines that remain robust precisely where conventional approaches break down: adverse weather, degraded sensing, and long-tail scenarios. Recent projects span uncertainty-driven BEV SLAM, differentiable risk fields for vision-language-action models, and adaptive split computing for resource-constrained robots.

Before UCI, I developed vision-based inspection systems and small-scale robotic platforms at Tianjin University under Prof. Gang Pan, graduating with the LuKaining Professor Scholarship (Rank 1 / 255). Deploying perception under severely constrained sensing conditions, this work earned a Silver Award at the China International College Students' Entrepreneurship Competition and laid the foundation for my current focus on real-world robustness.

I have translated research into practice through internships at KLA (super-resolution for semiconductor wafer inspection), Qcraft and CATRC (sensor fusion and embedded perception for autonomous driving), and Microsoft (cloud infrastructure engineering), shipping production-grade ML systems across the full stack, from edge deployment to cloud.