Cong Wang
Researcher at Harvard University
Cambridge, England, 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.
9 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 (118)
simulator10
gymnasium10
mechanics10
realsense10
in-app-purchase10
robotics10
intel10
openai-gym10
marine10
camera10
sdk10
computer-vision10
artificial-intelligence10
reinforcement-learning10
payment-methods10
Programming languages (9)
Github contributions (5)
robotlearning123/dual_ur5_husky_mujoco
Oct 2019 - Dec 2020
Common packages for the Clearpath Husky
Contributions:15 commits, 9 pushes, 5 branches in 1 year 2 months
huskygazebo-simulatorclearpathgazebosim
wangcongrobot/learning-notes
Aug 2019 - Nov 2021
Contributions:62 commits, 52 pushes, 1 branch in 2 years 3 months
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