Summary
Hailiang Dong is a research-driven machine learning scientist with a Ph.D. in Computer Science and a decade of experience building scalable ML systems across industry and academia. Currently at Meta on Feeds Ranking, he brings deep expertise in deep learning, optimization, and probabilistic graphical models developed during his PhD research at UT Dallas and prior roles at TikTok and Wayfair. His work spans production problems like large-scale video deduplication and offline policy evaluation as well as foundational research on tractable PGMs and expressive neural approximations. An algorithm enthusiast and active LeetCode competitor, he pairs rigorous theoretical thinking with practical engineering to push systems from prototype to production. Based in California, he combines strong teaching and research credentials with hands-on product experience, often digging into why models fail as much as how to make them succeed. Outside of work he shares technical insights on a personal blog, reflecting a continuous curiosity for system-level and algorithmic improvements.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at The University of Texas at Dallas
Master of Science - MS, Computer Science, 3.87 (top 2%), Master of Science - MS, Computer Science, 3.87 (top 2%) at Chongqing University
Chinese, English, Japanese