Summary
Edward Zhu is a software engineer and control systems researcher with 10 years of experience building prediction, planning, and optimal-control software for autonomous vehicles and multi-agent systems. Currently on Waymo’s trajectory optimization team, he holds a PhD in Mechanical Engineering from UC Berkeley where his work blended model predictive control, data-driven reachability, and autonomous racing. His background spans industry roles from ML-driven vehicle control at Plus to cloud resource arbitrage and demand forecasting, combining deep learning, ROS, Python, and C++ for production-grade systems. Earlier research in tensegrity robot locomotion and Army vehicle predictive maintenance highlights an uncommon breadth across agile robotics, simulation-driven digital twins, and multi-GPU model development. He brings a pragmatic research-to-deployment mindset that bridges rigorous control theory with scalable ML engineering.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Mechanical Engineering Controls, Doctor of Philosophy - PhD Mechanical Engineering Controls at University of California, Berkeley
Bachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at Villanova University
Chinese, English