Zheng Han
Machine Learning Quant at Morgan Stanley
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolZheng Han is a Machine Learning Quant based in New York with a PhD in Industrial Engineering and over a decade of industry experience, including five-plus years in ML roles at Morgan Stanley and American Express. He applies advanced optimization, statistical learning, and NLP—especially financial narrative processing—to build robust end-to-end pipelines and production-ready models that drive measurable business impact. At American Express he translated deep learning and recommendation research into personalization systems that generated multimillion-dollar gains, while maintaining a research-forward approach (conference presentations and peer-reviewing). Technically proficient in Python, Spark, Hive, TensorFlow and XGBoost, he blends hands-on engineering with rigorous algorithmic design to bridge prototype and production. Notably, his background in optimal control and change-point detection informs creative solutions for time-series and finance problems beyond standard ML recipes.
13 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Industrial Engineering; Applied Mathematics, Bachelor's degree, Industrial Engineering; Applied Mathematics at Tianjin UniversityDoctor of Philosophy (PhD), Industrial Engineering, Operations Research, Doctor of Philosophy (PhD), Industrial Engineering, Operations Research at Lehigh University
Github Skills (152)
statistics10
vpn9
jetbrains9
multimodal9
genetic9
toolbox9
wireguard9
python9
metadata9
copilot9
temporal9
intellij9
machine-learning9
oauth9
data-science9
Programming languages (9)
Github contributions (5)
zhh210/pypdas
Jan 2014 - May 2014
Contributions:49 commits, 1 push in 3 months
zhh210/flea_market
Jul 2018 - Apr 2019
Contributions:1 release, 7 pushes, 1 branch in 9 months
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