Lihong Li is an AI research scientist with 10+ years of experience building production-grade machine learning systems and leading research at top labs including Meta, Amazon, Google, Microsoft, and Yahoo. He holds a PhD from Rutgers and has deep expertise in reinforcement learning, decision-theoretic planning, large language models, and recommender systems, applying theory to large-scale web and commercial problems. At Amazon he advanced applied ML as a Senior Principal Scientist and now works on RL/LLM/RecSys at Meta, reflecting a career that bridges foundational research and product impact. Early internships and academic posts—from AT&T Shannon Labs to University of Alberta—show a long-standing focus on RL for dialog and decision-making. Based in Redmond, he combines rigorous research pedigree with practical deployment experience and an engineer’s humility—his GitHub hints at a continual desire to “take one more step” in front-end and tooling craft.
Contributions:7 PRs, 39 pushes, 3 branches in 2 years 8 months
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