Chao Song
Principal Applied Scientist at Microsoft
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolChao Song is a Senior Applied Scientist based in Bellevue, WA with eight years of experience applying machine learning and probabilistic modeling to large-scale retail and advertising problems. He has driven substitution-aware assortment planning and million-by-million substitution-effect modeling at Amazon, and previously led demand forecasting, pricing-sensitivity, and assortment-optimization work for Sam’s Club that scaled to millions of members. With a Ph.D. in Applied Mathematics, he blends rigorous mathematical foundations and manifold-learning insights with practical engineering to deliver scalable production models and optimization heuristics. Comfortable moving between research and product, he has a track record of speeding up optimization solvers and designing metrics that tie models to business impact. An understated strength is his background in fast high-dimensional query structures and numerical solvers, which informs efficient modeling choices in production ML.
9 years of coding experience
9 years of employment as a software developer
BS, Computational and Applied Mathematics, BS, Computational and Applied Mathematics at Fudan UniversityPh.D(Applied Maths), Applied Maths, Ph.D(Applied Maths), Applied Maths at Michigan State University
Chinese, English
Github Skills (85)
audio9
data-visualization9
nlp9
ui-components9
expressjs9
atom-editor9
python9
hexo9
gradio-interface9
deep-learning9
mermaid9
pytorch9
machine-learning9
plantuml9
natural-language-processing9
Programming languages (8)
Github contributions (5)
Rogerspy/blog-imgs
Mar 2020 - May 2022
Contributions:329 pushes, 1 branch in 2 years 1 month
Rogerspy/ManualTag
Jun 2018 - Aug 2019
Contributions:48 commits, 44 pushes, 1 branch in 1 year 2 months
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