About me

I am a Robotics Ph.D. specializing in motion planning, stochastic control, and learning-based autonomy under uncertainty, advised by Prof. Yongxin Chen at Georgia Tech. I develop GPU-accelerated algorithms—spanning diffusion-based learning, stochastic MPC, and trajectory optimization—deployed on real hardware from robot arms to autonomous trucks. My work bridges probabilistic inference with practical autonomy, with industry experience in safety-critical systems and on-road testing. Here is my Ph.D. Thesis here, which summarizes my doctoral research.

Previously, I obtained my Bachelor’s in Mechanical Engineering from Shanghai Jiao Tong University (SJTU). As an Eiffel Scholar, I completed a dual-degree program, earning a Diplôme d’ingénieur from École Centrale de Lyon in France. I subsequently returned to SJTU for my Master’s degree, working with Prof. Wei Dong, and completed a 2019 internship at CMU’s Intelligent Control Lab.