Kan Chen is a Staff Research Scientist with 13 years of experience bridging academic rigor and industrial impact in computer vision, on-device deep learning, and foundation models for autonomous systems. He has driven research and product contributions at Google (Gemini/Genie/Veo), Waymo (foundation models for motion prediction and end-to-end driving, WOMD dataset owner and challenge organizer), and Facebook AI (semi-supervised learning and NAS for edge devices). Kan holds advanced degrees from USC and a B.Eng. from Tsinghua, and his work consistently moves from datasets and benchmarks to production-facing models. Colleagues know him for combining deep theoretical insight with practical dataset stewardship—an often overlooked strength that accelerates reproducible research into deployed systems.
13 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Southern California
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Tsinghua University
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