Yuliang Li
AI Research Scientist at Meta
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolYuliang Li is an AI research scientist with nine years of experience bridging database theory, data management, and NLP to solve practical data preparation and integration challenges. He holds a PhD from UC San Diego where his thesis connected database theory with software model checking and business process management, and has applied that rigorous foundation at Megagon Labs and Meta on problems like entity matching, data cleaning, discovery, and table annotation. Comfortable moving between theory and applied ML, he has interned at Google, Microsoft, and IBM and brings production-minded research to industry settings in Sunnyvale. Colleagues know him for turning formal verification insights into scalable data workflows that reduce messy, real-world integration work.
9 years of coding experience
5 years of employment as a software developer
University of California, San DiegoExchange Student, Computer Science, Exchange Student, Computer Science at Rice UniversityHong Kong University of Science and Technology (HKUST)
Github Skills (10)
mining10
matching10
entity9
nlp8
python8
natural-language-processing7
machine-learning7
data-science6
privacy1
machine-learning-models1
Programming languages (2)
Github contributions (5)
oi02lyl/oi02lyl.github.io
Sep 2016 - Jun 2024
Contributions:108 pushes, 1 branch in 7 years 10 months
megagonlabs/ditto
Jul 2020 - Sep 2021
Code for the paper "Deep Entity Matching with Pre-trained Language Models"
Contributions:11 commits, 7 PRs, 19 pushes in 1 year 2 months
nlpentity-matchingpre-trained-language-modelsentitymatching
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