Shuyan Zhou is an Assistant Professor and AI researcher with eight years of experience building and leading projects at the intersection of large language models, agents, and code generation. After a PhD at Carnegie Mellon where she co-created tools like WebArena, PaL, and DocPrompting, she held research roles at Meta (leading Llama agent research), Google Labs, X, and Microsoft before joining Duke to run the i2x-ai-lab. Her work blends foundational LLM capabilities with practical agent and program-aided systems, emphasizing developer-facing code generation and interactive tooling. Known for pragmatic research that moves quickly from prototypes to usable demos, she combines deep academic rigor with product-minded experimentation.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Harbin Institute of Technology
Doctor of Philosophy (PhD) Computer Science - Artificial Intelligence, Doctor of Philosophy (PhD) Computer Science - Artificial Intelligence at Carnegie Mellon University
code repo for TACL 2020 paper "Improving Candidate Generation for Low-resource Cross-lingual Entity Linking"
Contributions:70 commits, 10 pushes, 4 branches in 2 years 2 months
entity-linking
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