Tianshu Chu

Research Scientist at Meta

Palo Alto, California, United States
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Summary

👤
Senior
🎓
Top School
Tianshu Chu is a research scientist based in Palo Alto with 10 years of experience applying reinforcement learning and multi-agent RL to real-world networked control problems such as traffic and wireless networks. Trained at Stanford (MSc and PhD candidate in Civil and Environmental Engineering) and with industry roles spanning startups to Meta, he builds and deploys RL systems for mobile and 5G network control, adaptive video streaming, and traffic management. His work blends academic rigor with product-focused engineering—earlier projects include hybrid learning systems for automated parking and intelligent medical diagnosis. At Uhana he developed deep RL solutions that were later integrated into VMware’s 5G efforts, demonstrating an ability to transition research into commercial impact.
code10 years of coding experience
job4 years of employment as a software developer
bookBachelor's Degree Physics, Bachelor's Degree Physics at Waseda University
booksuzhou high school
bookPhD Candidate Civil and Environmental Engineering, PhD Candidate Civil and Environmental Engineering at Stanford University
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Github Skills (21)

proximal-policy-optimization10
gymnasium10
traffic10
signal9
reinforcement-learning9
networked9
operations-research9
multi-agent9
agent9
scale9
mujoco9
stable-baselines9
deep-reinforcement-learning9
large-scale8
multi-agent-reinforcement-learning8

Programming languages (1)

Python

Github contributions (5)

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cts198859/deeprl

Dec 2017 - Aug 2018

multi-threading and multi-processing implementation of deep RL algorithms
Contributions:10 commits, 14 PRs, 63 pushes in 7 months
pytorchdeep-learningreinforcement-learningmulti-threadingdeep-rl
multi-agent deep reinforcement learning for large-scale traffic signal control.
Contributions:13 commits, 24 PRs, 97 pushes in 1 year 7 months
signalstable-baselinesagentdeep-learningreinforcement-learning
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Tianshu Chu - Research Scientist at Meta