Zheyuan Hu

Graduate Student

Berkeley, California, United States
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Summary

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Senior
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Top School
Zheyuan Hu is a PhD student at Carnegie Mellon’s Robotics Institute with a decade of hands-on experience building robot software and research in deep reinforcement learning. Trained in Computer Science and Applied Mathematics at UC Berkeley, he has blended academic rigor with practical system design—co-founding and leading robotics teams to develop autonomous control and path-planning systems for competition. At BAIR he worked under Prof. Sergey Levine on RL for robotics, reflecting a focus on learning-driven control and real-world deployment. Based in Berkeley, he brings both software engineering depth and applied math intuition to mechatronics problems, and his trajectory suggests a knack for turning competition-grade prototypes into research-quality systems.
code10 years of coding experience
job7 years of employment as a software developer
bookBachelor's degree Computer Science and Applied Mathematics, Bachelor's degree Computer Science and Applied Mathematics at University of California, Berkeley
bookDoctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering, Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering at Carnegie Mellon University
bookChaminade College Preparatory
languagesChinese, English
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Stackoverflow

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Github Skills (86)

robotics10
dynamics10
physics10
deterministic10
robot-simulator10
robotics-simulation10
mujoco10
simulator9
mechanics9
simulation9
physics-engine9
bullet-physics9
deep-reinforcement-learning8
alipay-mini-program7
reinforcement-learning7

Programming languages (10)

TypeScriptJavaC++CJavaScriptVueGoHTML

Github contributions (5)

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Contributions:78 commits, 73 pushes, 7 branches in 10 months
Leo428/Strategy_App

Nov 2016 - Feb 2017

Contributions:15 commits, 12 pushes, 1 branch in 3 months
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