Ye Wang
Research Scientist at Facebook
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolYe Wang is a research scientist and statistician with a decade of experience building large-scale machine learning and knowledge-graph systems at Facebook. Trained to a PhD level in statistics (Duke) with a perfect-math undergraduate background, Ye blends rigorous classical and Bayesian inference with practical ML engineering to turn complex problems into scalable algorithms. His work spans full-stack ML infrastructure, predictive modeling, and hierarchical forecasting methods—having developed provably correct algorithms and production-ready Python tooling during internships at Amazon and IBM. Based in Seattle, he is known for bridging theoretical proof with engineering pragmatism, optimizing both model accuracy and system performance for massive datasets.
10 years of coding experience
1 year of employment as a software developer
Master's Degree, Statistical and Economical Model, 3.763, Master's Degree, Statistical and Economical Model, 3.763 at Duke UniversityDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Duke UniveristyBachelor's degree, Mathematics, 4.00, Bachelor's degree, Mathematics, 4.00 at Harbin Institute of Technology
English, Chinese
Github Skills (9)
artificial-intelligence4
machine-learning4
deep-learning4
pytorch3
ai3
scalable3
modular3
ml2
deep-neural-networks2
Programming languages (1)
Github contributions (5)
ericyewang/ericyewang.github.io
Jul 2015 - Apr 2018
Contributions:669 pushes, 1 branch in 2 years 9 months
ericyewang/Duke-STA-210
Aug 2015 - Feb 2016
Contributions:73 commits, 71 pushes, 2 branches in 6 months
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