Xiangyang Cao
Senior Applied Scientist at Microsoft
Seattle, Washington, United States
Summary
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Top SchoolXiangyang Cao is a Senior Applied Scientist based in Seattle with a PhD in Statistics and eight years of experience applying machine learning, deep learning, and causal inference to large-scale Cloud + AI products. He has shipped production models and experimentation methods at Microsoft and Facebook, with hands-on expertise in PyTorch/TensorFlow, XGBoost, Spark, Presto, and SQL. His background spans academic research in high-dimensional inference and practical work across forecasting, NLP fine-tuning, and fraud detection, reflecting a rare blend of rigorous statistics and engineering. Known for translating complex causal and heterogeneous treatment-effect problems into deployable solutions, he pairs C++/Python development skills with big-data pipelines to drive measurable business impact.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Central University of Finance and EconomicsDoctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of South Carolina
English, Chinese
Github Skills (10)
mining8
miner8
nvidia6
ctr6
zcash6
beam5
ethereum5
amd4
cuda3
gpu2
Programming languages (1)
Github contributions (5)
devcao/devcao.github.io
Dec 2018 - Jul 2020
Contributions:144 pushes, 1 branch in 1 year 7 months
devcao/LOCOpath
Nov 2018 - Jul 2020
Contributions:67 commits, 61 pushes, 1 branch in 1 year 7 months
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