Tianhe Yu
AI Research Scientist at Meta
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolTianhe Yu is an AI research scientist with a decade of experience building and fine-tuning foundation models and reinforcement learning systems, now working on superintelligence at Meta’s MSL TBD lab. Previously at Google DeepMind he co-led development and launch efforts for Gemini 2.5 Pro and its Deep Think variant—work that contributed to an IMO 2025 gold medal—and helped drive Gemini’s Flash Thinking and earlier core releases. His research blends LLM post-training, reasoning, and RL, with roots in large-scale robotic transformer projects (RT-1/RT-2/RT-X) and a PhD from Stanford. Equally at home in low-level engineering, he has a background in electrical engineering and FPGA design and enjoys skiing, reflecting a blend of hands-on systems skill and adventurous curiosity.
10 years of coding experience
10 years of employment as a software developer
Bachelor's Degree Applied Mathematics Statistics Computer Science, Bachelor's Degree Applied Mathematics Statistics Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
English, Chinese, SpanishGithub contributions (5)
TianheYu/SMEM_Fully_Pipelined_Design
Jan 2018 - Jun 2018
Contributions:5 commits, 4 pushes, 1 branch in 4 months
TianheYu/RingOsc-Project
Nov 2015 - Oct 2016
Contributions:1 push, 1 branch in 11 months
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