Summary
Jinxin Zhao is a robotics and motion-planning leader with 9 years of experience applying planning/control algorithms and machine learning to autonomous systems, now managing Collision Avoidance at Zoox. He combines a PhD-level foundation in control and C3 systems with hands-on expertise in C++, Python and PyTorch from roles at Zoox, Johnson & Johnson, Baidu and AutoX. His work spans data-driven motion and behavior planning for self-driving vehicles and rigorous system-dynamics analysis for control, with earlier research on adaptive resonance entrainment in animal-inspired locomotion. Jinxin has moved between research and product contexts, translating theoretical advances into real-time controllers and production-grade autonomy stacks. He brings uncommon depth in both nonlinear control theory and practical deployment, enabling safer, more intelligent robot behavior.
9 years of coding experience
11 years of employment as a software developer
Master of Science (M.Sc.) Flight dynamics and control, Master of Science (M.Sc.) Flight dynamics and control at University of Michigan
University of California, Los Angeles
Bachelor of Science (BS) Mechatronics Robotics and Automation Engineering, Bachelor of Science (BS) Mechatronics Robotics and Automation Engineering at Zhejiang University
German, English, Chinese