何石弼 (Shibi He) is a machine learning researcher and engineer with a decade of experience building large-scale AI systems, from distributed reinforcement learning for autonomous vehicles at Nuro to search ads recommendations at Google. He holds a PhD in machine learning from UIUC and has deep expertise across RL, computer vision, sequence modeling, and high-performance distributed training (MPI/GPU), including practical 1000x CUDA speed-ups. As founder of TIME-OMNI.COM he explores novel intersections of currency, computation, and emergent systems while maintaining a strong research pedigree from roles and collaborations at Stanford, Snap, Zhejiang University, and UCLA. Beyond engineering, Shibi’s intellectual curiosity spans quantum field theory, consciousness, philosophy and game strategy (Poker and Go), informing a rare blend of technical rigor and systems-level thinking. Based in Mountain View with global ties, he brings both academic depth and product-focused execution to frontier AI and blockchain projects.
10 years of coding experience
3 years of employment as a software developer
Xi'an Gaoxin No.1 Middle School
University of Illinois Urbana-Champaign
Bachelor of Engineering - BE, Computer Science, Major 3.98/4.00, Bachelor of Engineering - BE, Computer Science, Major 3.98/4.00 at Zhejiang University
This is the implementation of paper Model Free Episodic Control
Contributions:64 commits, 2 PRs, 61 pushes in 3 years 3 months
model-freeepisodic-control
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