Brian Tuan is a Research PM in the San Francisco Bay Area with a decade of experience at the intersection of machine learning, hardware, medicine, and robotics. His background spans academia and startups—from CERN research in large-scale simulation and custom hardware to senior ML engineering at Samsara where he deployed edge AI in industrial environments. He’s transitioned into product and research leadership roles, helping companies translate ML research into reliable, real-world systems and currently focuses on robots encountering reality at Physical Intelligence. Known to call himself a “machine teacher,” Brian blends deep technical chops in CS and physics with practical product sensibilities to shepherd complex projects across research and production. California-born and trained at the University of Chicago, he often gravitates toward problems that require tight integration between models, sensors, and hardware.
11 years of coding experience
7 years of employment as a software developer
High School, High School at The Harker School
CS & Physics, CS & Physics at University of Chicago
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