Thomas Tian is a robotics-focused research scientist with eight years of experience building and aligning large embodied models for real-world autonomous systems. Currently at NVIDIA after a stint at Waymo, he specializes in post-training alignment and skill mastery for robotics foundation models, with applied work spanning autonomous driving, motion planning, and embodied agents. His PhD from UC Berkeley produced novel algorithms addressing safety and lifecycle alignment—from pre-training to deployment—and has earned multiple industry awards including ICRA Best Paper and the Qualcomm and Baidu fellowships. Thomas combines deep academic rigor with production-minded research, repeatedly translating generative and vision-language model advances into practical driving and robotics solutions. Based in San Francisco, he has a track record of using expert preference queries and efficient post-training techniques to make models behave more human-aligned in interaction-heavy settings.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Michigan
Summer STEM Program: Computer Science and Entrepreneurship, Summer STEM Program: Computer Science and Entrepreneurship at The Cooper Union for the Advancement of Science and Art
Contributions:13 commits, 17 pushes, 1 branch in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.