Shuyang Li is a Research Scientist at Meta with 11 years of experience at the intersection of ML, NLP, recommender systems and data analytics, grounded in a PhD and MS in Computer Science from UCSD and a BSE from Princeton. He has a strong research-to-production track record—publishing in EMNLP/EACL/INTERSPEECH, earning a Qualcomm Innovation Fellowship, and shipping applied solutions during internships at Amazon, Google, and Salesforce. His work blends personalized language modeling, knowledge-aware generation, and dialog/recommendation modeling, with hands-on experience building high-throughput data pipelines and anomaly detection systems in finance. Comfortable moving between deep research and pragmatic engineering, he’s known for tackling low-data and knowledge-rich problems and for turning academic ideas into deployable systems. An early-career detail that sets him apart: he modeled time series for millions of structured finance assets and scaled dataset discovery efforts at Kaggle, showing both domain breadth and production impact.
11 years of coding experience
5 years of employment as a software developer
University of California, San Diego
BSE, Operations Research, Financial Engineering, Applied Computer Science, BSE, Operations Research, Financial Engineering, Applied Computer Science at Princeton University
Contributions:172 pushes, 1 branch in 9 years 2 months
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