I’m an ML researcher and practitioner at Tesla AI, working on the FSD. Prior to my full-time career at Tesla, I was a PhD student at SafeAI Lab and a Master in Machine Learning at School of Computer Science of Carnegie Mellon University, advised by Professor Ding Zhao. I also worked closely with Professor Bo Li from UIUC. My research interest lies in the causality-driven approaches for safe and generalizable Physical AI systems, with some exciting applications in autonomous driving and embodied agents. During my PhD, I’ve spent my summers/falls as research intern at NVIDIA, Waymo, Cruise, and MERL. Prior to CMU, I receive my B.S. Degree with highest honor in Automation (Robotics Track) from Zhejiang University in 2021.
PhD at SafeAI Lab, 2021-2026
College of Engineering, CMU
MS in Machine Learning, 2023-2024
School of Computer Science, CMU
BS in Automation (Robotics), 2017-2021
Department of Control Science and Engineering, ZJU
[09/2025] One paper about policy adaptation for end-to-end driving accepted by NeurIPS 2025, see you in San Diego!
[08/2025] Starting my part-time intern at NVIDIA Research autonomous vehicle research group.
[05/2025] Starting my summer intern at AI research team of Waymo LLC!
[03/2025] I have been awarded the William and Alice McGaw Graduate Fellowship at CMU!
[02/2025] One paper about causal reasoning and diffusion-based scenario generation is accepted by CVPR 2025!