Hi, I'm Cong 👋

Building physical AI for science — Robot Learning · Embodied AI · AI Agents
Researcher @ Massachusetts General Hospital · Harvard University · Boston, MA

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🔭 What I work on

I build learning-based robots and AI agents that act in the physical world — and I'm increasingly applying these tools to biology and neuroscience, where embodiment matters as much as intelligence.

• Robot Learning — RL, sim-to-real, mobile manipulation, foundation models for robots
• AI Agents — LLM/VLM agents that can perceive, plan, and use tools to control physical systems
• Physical AI for Science — bringing the above to wet-lab, microscopy, and brain-inspired settings

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🚀 Selected projects

Robot Learning & Embodied AI

• awesome-isaac-gym — Curated resources for GPU-accelerated robot learning · 1.2k ⭐
• dual_ur5_husky_mujoco — Mobile manipulation simulation: dual UR5 arms on a Husky base in MuJoCo
• mujoco-mcp — Control MuJoCo simulations from any LLM via the Model Context Protocol

AI Agents

• gemini-robotics-er-playground — Hands-on playground for Gemini Robotics-ER
• chatgpt2agent — Turning chat models into tool-using agents

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📫 Connect

LinkedIn · X / Twitter · Google Scholar

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_{"The best way to predict the future is to build it — one robot, one agent, one experiment at a time."}