Qizhan Tam
Research Manager, Autonomous Vehicles Prediction, Planning & Controls at Nissan Motor Corporation
California, United States
Summary
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Senior🎓
Top SchoolQizhan Tam is a research manager specializing in real-time prediction, planning, and control for autonomous vehicles and ADAS, with eight years of experience advancing safe, smooth, and human-like driving behaviors. Based in California, he progressed through technical and leadership roles at Nissan—moving from intern to Research Manager while leading cross-functional teams that integrate ML models with rules-based algorithms for production-capable systems. His Stanford MS and UPenn BSE underpin deep expertise in control theory and reachability analysis, evidenced by a WAFR conference paper and hands-on field testing of deployed AV behaviors. Comfortable bridging research and engineering, he focuses on provable safety and predictable interactions in challenging environments, and he routinely pairs algorithm development with real-world demonstrations.
8 years of coding experience
Bachelor's of Science in Engineering Mechanical Engineering, Bachelor's of Science in Engineering Mechanical Engineering at University of PennsylvaniaMaster of Science Mechanical Engineering, Master of Science Mechanical Engineering at Stanford University
EnglishGithub contributions (5)
StanfordASL/stlhj
May 2018 - Sep 2018
Contributions:37 commits, 10 pushes in 4 months
JohnHaTrick/AA203
Apr 2018 - Nov 2020
Contributions:7 pushes, 4 branches in 2 years 6 months
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