Kunhui Zhang
Senior Machine Learning Engineer at Unity
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolKunhui Zhang is a Senior Machine Learning Engineer with nine years of experience bridging academic research and production ML, currently at Unity after a Machine Learning Scientist role at Amazon. A fifth-year PhD candidate in Statistics at the University of Washington, Kunhui specializes in high-dimensional time series, threshold autoregressive models, and clustering methods, and has a track record of generalizing classical models to high dimensions. His research has uncovered economic regime shifts from bank balance sheets and led to novel density-based clustering that outperformed k-means in cosmology data, while his applied work measured COVID-19 mobility impacts and quantified efficiency savings at Google. Kunhui combines rigorous statistical theory with practical model validation frameworks and large-scale data experience, including high-frequency trading analysis and VAR-style counterfactual estimation. Based in Seattle, he brings both deep methodological expertise and proven ability to deploy robust time-series and clustering solutions in industry settings.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of WashingtonMaster's degree Statistics, Master's degree Statistics at Rice UniversityBachelor of Science (BS) Statistics, Bachelor of Science (BS) Statistics at Qingdao University
Japanese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github contributions (5)
SISBID/Supervised-Learning
Jul 2016 - Aug 2022
Contributions:78 commits, 104 pushes in 6 years 1 month
shojaie/GSAM
Sep 2021 - Oct 2021
Additive Models for High Dimensional Data
Contributions:1 push in 7 days
high-dimensional-dataadditive-modelsdimensionalhigh-dimensionaladditive
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