Weidong Huang

Student at Beihang University

West Lafayette, Indiana, United States
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Summary

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Rockstar
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Weidong Huang is a graduate student and researcher in reinforcement learning with seven years of technical experience blending mechanical engineering and data science. Trained at Shanghai Jiao Tong University and currently at Purdue (MSME, 4.0 GPA), he focuses on safety and model-based reinforcement learning while applying strong skills in SQL, Python, C, Spark, and MATLAB. He brings a rigorous, research-driven approach to model validation, hypothesis testing, and high-performance coding, informed by a mechanical engineering foundation. Energetic and self-motivated, he pairs analytical depth with leadership and organizational capabilities gained through sustained academic and project work. Notably, his background bridges physical systems thinking and advanced ML safety research, positioning him to tackle real-world control and reliability challenges.
code7 years of coding experience
bookMSME, Mechanical Engineering, GPA 4.0, MSME, Mechanical Engineering, GPA 4.0 at Purdue University
bookBachelor's degree, Mechanical Engineering, top 10%, Bachelor's degree, Mechanical Engineering, top 10% at Shanghai Jiao Tong University
languagesEnglish, Chinese
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Github Skills (30)

benchmark10
safety-critical10
deep-reinforcement-learning10
reinforcement-learning9
pytorch9
machine-learning9
mujoco9
deep-learning8
robotics8
control-systems6
temporal-difference5
artificial-intelligence5
simulation4
temporal4
hardware4

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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hdadong/android_virus_GPU

Mar 2021 - Mar 2021

Contributions:29 commits, 24 pushes, 4 branches in 10 days
hdadong/safety-gymnasium

Apr 2023 - Jan 2024

Safety-Gymnaisum is a highly scalable and customizable safe reinforcement learning environment library.
Contributions:59 pushes, 9 branches in 9 months
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Weidong Huang - Student at Beihang University