My research interest lies in the intersection of control theory and machine learning. My recent research (mostly done at Tsinghua or collaborated with CMU during my master's study) focused on establishing provable safety guarantees for reinforcement learning algorithms with applications to robotic systems and autonomous driving. Currently, I am working on developing fundamental decision-making tools for efficient exploration and exploitation with application to multi-agent robotic systems. I also have done some engineering projects, such as implementing planning/control algorithms on real autonomous vehicles and developing autonomous driving simulation platforms.
Prior to Harvard, I received my master degree in vehicle engineering from Tsinghua University in 2022. I was with the Intelligent Driving Lab (iDLab) at School of Vehicle and Mobility, Tsinghua University, where I worked with Prof. Shengbo Eben Li and Prof. Sifa Zheng. I also collaborated closely with Prof. Jianyu Chen, who leads Intellegent System and Robotics Lab at IIIS, Tsinghua University. In summer 2021, I had a great time working (remotely) with Prof. Changliu Liu, who leads the Intelligent Control Lab at the Robotics Institute, Carnegie Mellon University. I received my bachelor degrees in vehicle engineering and business administration (second major) from Tsinghua University in 2019. I have received the outstanding master graduate and master thesis of Tsinghua University, L4DC best paper award finalists, ITSC best student paper award, championship of Honda Eco Mileage challenge in China, etc.