Cong Wang
Researcher at Mass General Hospital
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolCong Wang is a researcher with nine years' experience building brain-inspired AGI and agent systems, currently affiliated with Harvard and Mass General Hospital after a recent research stint at Delft University of Technology. His background blends robot learning (PhD-level training from the University of Chinese Academy of Sciences) with cross-disciplinary projects spanning neuroscience, robotics, and AI. He has a track record of moving between top academic labs—from the Chinese Academy of Sciences to Edinburgh Centre for Robotics—bringing experimental rigor to scalable agent architectures. Based in Cambridge, England, he focuses on biologically informed models that aim to bridge neural principles and practical AGI capabilities. Notably, his work emphasizes agent-centric design rather than pure model scaling, reflecting a systems-level approach to intelligence. He combines deep academic roots with hands-on research leadership in clinical and engineering settings.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Robot Learning, Doctor of Philosophy - PhD Robot Learning at University of Chinese Academy of Sciences
Chinese, English
Github Skills (119)
simulator10
mechanics10
realsense10
robotics10
openai-gym10
sdk10
computer-vision10
reinforcement-learning-environments10
reinforcement-learning10
bullet-physics10
dynamics10
nvidia10
physics10
camera-api10
physics-engine10
Programming languages (14)
Github contributions (5)
wangcongrobot/learning-notes
Aug 2019 - Nov 2021
Contributions:62 commits, 52 pushes, 1 branch in 2 years 3 months
robotlearning123/awesome-isaac-gym
Aug 2021 - Dec 2022
A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
Contributions:1 review, 38 commits, 1 PR in 1 year 4 months
nvidiaisaac-gymrobot-learningroboticsreinforcement-learning
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