Chi Wang

2026 Early Career Alumni Achievement Award

Chi Wang is the founder of AutoGen (now AG2)—open-source frameworks for agentic AI used by Nvidia, Google, Microsoft, and leading research institutions worldwide. He previously led agentic AI work as a Senior Staff Research Scientist at Google DeepMind, pioneered agentic AI research at Microsoft Research, and created FLAML for AutoML. Dr. Wang holds a Ph.D. from the University of Illinois under Professor Jiawei Han and a B.S. from Tsinghua University.

His work has earned multiple prestigious awards, including Best Paper at the ICLR'24 LLM Agents Workshop, the SIGKDD PhD Dissertation Award, the Early Career Alumni Achievement Award from the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign, Open100 recognition, The Sequence's pick of 5 favorite AI papers in 2023, and recognition as a top 10 AI innovation in 2021.

As a recognized leader in the transition from static LLM applications to dynamic, multi-agent ecosystems, Wang has driven significant advances in how AI agents collaborate and solve complex problems. AutoGen (AG2) is used across every industry by leading organizations including Nvidia, Google, Microsoft, JPMorgan, Walmart, and AT&T, as well as top research institutions including Harvard, MIT, Cambridge, Oxford, Princeton, Cornell, University of Chicago, and Flatiron Institute. It has achieved top performance in challenging benchmarks including SWE-bench, OSWorld, and WebArena for software engineering, computer use, and web automation, and has over 50,000 stars on its public GitHub repositories. It has been applied to scientific discovery across multiple domains including physics, life sciences, chemistry, material science, planetary science, and chip design. Wang teaches at Stanford, Berkeley, and on Coursera and DeepLearning.AI, leads an open-source agentic AI community with over 21,000 members organized on Discord, is a sought-after keynote speaker at academic and industrial events, and has delivered invited talks at leading universities including MIT, Stanford, Berkeley, and Cambridge. He serves as advisor and investor to agentic AI startups.