Summary
Zhengze Zhou is a research scientist at Meta with a PhD in Statistics from Cornell and eight years of experience at the intersection of statistical inference and machine learning. His background spans rigorous academic training—4.0/4.0 PhD and teaching across probability, linear models, and applied Python—to hands-on applied roles at Meta, Facebook Ads ranking, Amazon Autocomplete, and A9 search. He focuses on principled inference for modern ML methods, bringing theory-driven solutions to production-scale ranking and search problems. Comfortable moving between research and engineering, he leverages deep probabilistic intuition from Peking University and Cambridge study to tackle cold-start and ranking challenges rarely addressed purely by engineering teams.
8 years of coding experience
1 year of employment as a software developer
Summer School, Summer School at University of Cambridge
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at Peking University
Master's degree, Computer Science, Master's degree, Computer Science at Cornell University
Chinese, English