Yu Wang
Lead Research Scientist at Epsilon
California, United States
Summary
👤
Senior🎓
Top SchoolYu Wang is a Lead Research Scientist in Decision Science at Epsilon with a PhD in Mathematical Statistics and nine years of experience applying advanced probabilistic methods to large-scale personalization and recommendation systems. He blends deep theoretical expertise—published work in reinforcement learning and variational inference—with hands-on production engineering, having scaled preprocessing and model pipelines for datasets with billions of rows using Hive and Scala. At Epsilon he progressed from data scientist to lead scientist, delivering multiple candidate production classifiers and novel theoretical extensions such as an F1-score supremum derivation tied to Bayes error. His background in computational and applied mathematics and prior policy-focused research reflects a strong foundation in rigorous proof, numerical algorithms, and privacy-aware synthetic data. Based in California, he is comfortable moving between theory and production to turn complex statistical ideas into deployable, high-impact systems.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Mathematics, 3.6/4.0, Bachelor's degree, Mathematics, 3.6/4.0 at Beihang UniversityDoctor of Philosophy - PhD, Mathematical Statistics and Probability, 3.9/4.0, Doctor of Philosophy - PhD, Mathematical Statistics and Probability, 3.9/4.0 at University of Notre DameMaster's degree, Computational and Applied Mathematics, 3.5/4.0, Master's degree, Computational and Applied Mathematics, 3.5/4.0 at University of PennsylvaniaGithub contributions (5)
cedricwangyu/NoFAS
Aug 2021 - Mar 2022
Contributions:13 commits, 24 pushes, 1 branch in 7 months
cedricwangyu/LC
Sep 2020 - Feb 2023
Contributions:569 commits, 598 pushes, 1 branch in 2 years 4 months
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