I am a final-year PhD student of SafeAI Lab at Carnegie Mellon University, and a Master in Machine Learning at School of Computer Science, advised by Professor Ding Zhao. I also work closely with Professor Bo Li and Huan Zhang from UIUC. My current research interest lies in the model-centric, data-centric and preference-centric approaches for reinforcement learning on foundation model reasoning, with some exciting applications in autonomous driving and embodied agents. Prior to CMU, I receive my B.S. Degree with highest honor in Automation (Robotics Track) from Zhejiang University in 2021.
I’m currently working as a part-time intern at NVIDIA Autonomous Vehicle Research Group. I’ve been fortunate to work as research intern at Waymo AI Foundation team, Cruise AI Research, and MERL. I’m on the job market this fall for a full-time position!
PhD at SafeAI Lab, 2021-
College of Engineering, CMU
MS in Machine Learning, 2021-2024
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!