Nathan Welch
Principal Data Scientist
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolNathan Welch is a Principal Data Scientist in Seattle with nearly a decade of experience building Bayesian probabilistic forecasting and time-series models for high-dimensional, sparse, and correlated data. He has progressed through analytical and leadership roles at MITRE since 2011, scaling predictive analytics and leading teams that translate statistical research into operational forecasting for federal clients. A PhD candidate in statistics at the University of Washington with an MS from Georgetown and a strong applied-math background (BS summa cum laude), he blends rigorous theory with production-ready R and Python implementations. Nathan’s early work on cost and risk models for government acquisition gives him a pragmatic edge in communicating uncertainty to decision-makers, and his focus on distributed computing supports deploying models at scale.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at University of WashingtonM.S. Mathematics and Statistics, M.S. Mathematics and Statistics at Georgetown UniversityB.S. Summa Cum Laude Mathematics and Chemistry, B.S. Summa Cum Laude Mathematics and Chemistry at University of Alabama at Birmingham
Github Skills (5)
r-package9
r7
libgit24
git-client3
git2
Programming languages (2)
Github contributions (5)
ngwelch/prelim
Apr 2017 - Jun 2017
Contributions:44 pushes, 1 branch, 1 comment in 1 month
ngwelch/bayesFlow
Jun 2022 - Jul 2022
Contributions:10 commits, 2 pushes, 1 branch in 1 month
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