Yunfeng Zhang
Senior Applied Scientist at Microsoft
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolYunfeng Zhang is a Senior Applied Scientist in Mountain View with a decade of experience applying statistics, machine learning, and convex optimization to real-world problems. He holds a Ph.D. in Statistics from Texas A&M and has driven ad relevance, ranking, and click-prediction efforts at Microsoft, combining probabilistic modeling with production-ready Python and C++ implementations. Earlier roles in quantitative research and energy analytics reflect a track record of translating domain data into predictive insights, including a published-style reduction in MMRE during a research internship. Comfortable across R, SQL and shell scripting, he focuses on integrating statistical rigor with scalable ML systems. Colleagues describe him as someone who bridges theoretical depth and engineering pragmatism—equally at home proving a model’s properties and deploying it to serve billions of ad impressions.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS) Statistics, Bachelor of Science (BS) Statistics at University of Science and Technology of ChinaDoctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Texas A&M University
English, Chinese
Github Skills (17)
julia8
r-package8
portable7
mxnet7
mutation7
golang6
deep-learning6
machine-learning6
python6
scheduler6
classification6
scala6
dep6
javascript6
dataflow6
Programming languages (1)
Github contributions (5)
Pennisetum/Rcpp-class
Mar 2019 - Mar 2019
Contributions:3 pushes, 1 branch in 1 day
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