Xilun Chen is a research scientist at Meta with 13 years of experience focused on Natural Language Processing and Machine Learning, particularly the interaction between knowledge and language. He holds a Ph.D. in Computer Science from Cornell and has internships across top research labs including Microsoft Research, Facebook, IBM Almaden, and Google, reflecting a strong track record bridging academia and industry. His recent work centers on knowledge-intensive NLP—open-domain question answering, neural retrieval, and retrieval-augmented language models—bringing practical retrieval systems into large-scale language modeling. Known for pursuing the subtle synergy between structured knowledge and contextual language understanding, he blends theoretical rigor with production-minded research. Based in the United States, he combines deep research training with hands-on experience shipping research at scale within leading tech organizations.
13 years of coding experience
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Cornell University
Bachelor of Science in Engineering (B.S.E.) Computer Science, Bachelor of Science in Engineering (B.S.E.) Computer Science at Shanghai Jiao Tong University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.