Chris Zhang is a Staff Researcher in San Francisco with 11 years of experience focused on machine learning and computer vision for self-driving systems. He progressed through research roles at Waabi—from Researcher to Staff Researcher—and previously contributed to autonomous-driving research at Uber, blending academic rigor from his PhD work at the University of Toronto with production-minded engineering. Chris has moved across Toronto and San Francisco teams, demonstrating an ability to translate novel research into deployed capabilities in large-scale vehicle autonomy stacks. His background in systems design engineering and a history of internships at tech firms signal strong full-stack problem solving beyond pure modeling, including practical software and web development skills. Notably, he maintains a concise CV link for deeper technical detail, reflecting a preference for focused, accessible summaries of his work.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Toronto
Bachelor’s Degree Systems Design Engineering, Bachelor’s Degree Systems Design Engineering at University of Waterloo
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