Ran Yoo

Software Engineer at Meta

New York, New York, United States
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Summary

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Rockstar
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Top School
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.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Michigan
bookSummer STEM Program: Computer Science and Entrepreneurship, Summer STEM Program: Computer Science and Entrepreneurship at The Cooper Union for the Advancement of Science and Art
bookStuyvesant High School
languagesEnglish, Korean, Spanish
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Github Skills (21)

reasoning9
ros8
nvidia8
robotics8
simulator8
unreal-engine-47
autonomous-driving7
deep-reinforcement-learning7
computer-vision7
carla6
autonomous-vehicles6
deep-learning6
ai6
self-driving-car6
imitation-learning6

Programming languages (2)

C++Python

Github contributions (5)

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Literature and code for inverse reinforcement leanring research
Contributions:4 commits, 4 pushes in 3 months
Contributions:13 commits, 17 pushes, 1 branch in 7 months
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