I’m a Machine Learning Engineer on the Planner team at Waymo, where I work on onboard ML models for planning. I received my Ph.D. from the Aerospace Department at the University of Michigan - Ann Arbor, where I was fortunate to be advised by Professor Anouck Girard and Professor Ilya Kolmanovsky. My research interests include, but are not limited to, learning, control, and optimization. I’m specifically focusing on theoretical and algorithmic integration of data-driven methods in optimal control to resolve robust and safety concerns that emerged in autonomous agents’ applications.

Education

B.S. in Mechanical Engineering, Shanghai Jiao Tong University, 2019

M.S. in Mechanical Engineering, University of Michigan - Ann Arbor, 2021

News

• [2026.07] Started a new position as a Machine Learning Engineer on the Planner team at Waymo!
• [2026.05] Successfully defended my PhD thesis, “Safe and Uncertainty-Aware Decision-Making for Autonomous Vehicles”!
• [2025.09] Awarded the Rackham Predoctoral Fellowship.

Work Experience

Waymo, Planner Team
Machine Learning Engineer, Jul 2026 – Present, Mountain View

Toyota Research Institute, HID Division
Research Intern, May 2025 – Aug 2025, Cambridge
Working with John Talbot, James Dallas, and John Subosits