Rui Zhuang
Senior Applied Scientist Manager at Microsoft
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRui Zhuang is a Senior Applied Scientist Manager at Microsoft with seven years of experience applying large-scale data mining and machine learning to production problems. He brings a strong statistical foundation from a Ph.D. in Biostatistics and a track record of turning research into practical systems, from time-varying biomarker metrics at Fred Hutch to feature embeddings and demand-transition pipelines during internships at Amazon. Proficient in Python, R, and SQL, Rui bridges deep analytical thinking with engineering pragmatism to lead teams that deliver reliable, data-driven solutions. Based in Seattle, he combines academic rigor with industry impact, often translating complex statistical methods into scalable product features. A less obvious strength is his cross-domain fluency—biostatistics research experience informs robust experimental design and causal reasoning in commercial ML settings.
6 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biostatistics, Doctor of Philosophy (Ph.D.) Biostatistics at University of WashingtonBachelor of Science - BS, Bachelor of Science - BS at Nanjing University
Github Skills (30)
python10
data-science10
discord10
classification10
machine-learning10
natural-language-generation10
azure-machine-learning10
hyperparameter-optimization10
regression10
naive-bayes10
automl10
natural-language-processing10
fairness-ml10
scikit-learn10
azure10
Programming languages (4)
Github contributions (5)
ruizhuanguw/azureml-cheatsheets
Apr 2021 - Jun 2021
Azure Machine Learning Cheat Sheets
Contributions:1 push, 1 branch in 1 month
cheat-sheetsmachine-learningazure-machine-learningazuresheets
ruizhuanguw/LightGBM
Jul 2020 - Jul 2020
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Contributions:2 pushes, 1 branch in 1 day
gbmclassificationgradient-boostingscalabilitydecision-tree
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