Nathaniel Blair-stahn
Data Science Student
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNathaniel Blair-stahn is a PhD mathematician turned data science practitioner in Seattle, blending over a decade of research-grade mathematical expertise with hands-on machine learning and software development experience. He has built and productionized models and pipelines using Python, AWS, Spark, and MongoDB through project work at Galvanize, and implements algorithms from first principles thanks to deep knowledge of probability, statistics, and algorithms. As a longtime instructor and tutor he excels at translating complex ideas for diverse audiences, having taught hundreds of students and designed curriculum from elementary math circles to collegiate courses. He also applies systems thinking to social impact — co-founding a financial cooperative that refinances student debt and building financial models and risk metrics to keep capital local. Comfortable moving between theory and production, he pairs rigorous, test-driven coding with a persistent focus on problems that matter.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Mathematics (Probability), Doctor of Philosophy (Ph.D.), Mathematics (Probability) at University of WashingtonThe University of Arizona
Github Skills (19)
linkage6
simulation6
census6
science5
probabilistic5
synthetic5
record-linkage5
python5
mls5
sphinx1
diagram1
umlet1
dot1
mermaid1
sphinx-doc1
Programming languages (3)
Github contributions (5)
NathanielBlairStahn/tree-logic
Jan 2018 - May 2018
Contributions:130 commits, 68 pushes, 1 branch in 3 months
ihmeuw/vivarium_data_analysis
Jan 2020 - Aug 2023
Code for analyzing Vivarium output and GBD data for Vivarium input
Contributions:2 reviews, 85 PRs, 76 pushes in 3 years 7 months
analyzingvivarium
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