Han Fang

AI RESEARCH SCIENTIST | SEATTLE, UNITED STATES

Han Fang is an AI Research Scientist at Meta’s SuperIntelligence Labs, working on RSI research and agentic capabilities. He is a core contributor to Agents in Muse Spark, developing self-improving agents that can recursively improve model’s agentic capabilities, reaching SoTA on MCP-Atlas and frontier on Toolathlon, and APEX-Agents.

Han holds a PhD in Applied Mathematics & Machine Learning, published in top-tier venues with 12K+ citations. He is a recipient of the President’s Award to Distinguished Doctoral Students, the Woo-Jong Kim Dissertation Award, and the Excellence in Research Award.