Garrett Thomas
PhD Candidate
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolGarrett Thomas is a PhD candidate in Computer Science based in the Bay Area with 11 years of hands-on experience spanning research internships and teaching roles. He specializes in reinforcement learning and robotics, having built transformer-based architectures for manipulation (work presented at CoRL) and explored human-preference and offline RL at Nuro and ByteDance. A Berkeley-trained mathematician and former CS instructor, he brings rare experience translating classroom pedagogy into reproducible research and practical system design. Garrett’s background ranges from web and API development to large-scale ML research, highlighting an ability to move between production engineering and cutting-edge algorithmic work. Notably, he has collaborated with leading labs and industry teams to integrate diverse data sources and human feedback into decision-making systems.
11 years of coding experience
2 years of employment as a software developer
Bachelor's Degree Mathematics and Computer Science, Bachelor's Degree Mathematics and Computer Science at University of California, BerkeleyPalos Verdes Peninsula High SchoolDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
English, Spanish
Github Skills (6)
openai-gym10
deep-reinforcement-learning10
reinforcement-learning9
machine-learning9
pytorch9
q-learning6
Programming languages (2)
Github contributions (5)
gwthomas/gps_cad
Apr 2017 - Aug 2018
Contributions:33 commits, 1 push in 1 year 3 months
gwthomas/gwthomas.github.io
Jun 2015 - Feb 2019
Contributions:62 commits, 58 pushes, 1 branch in 3 years 9 months
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