Nate Strawn
Section Supervisor at The Johns Hopkins University Applied Physics Laboratory
Chevy Chase, Maryland, United States
Summary
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Senior🎓
Top SchoolNate Strawn is an applied mathematician and section supervisor at The Johns Hopkins University Applied Physics Laboratory with a decade of experience translating mathematical theory into production-ready algorithms for data visualization, optimization, robust distributed statistics, and machine learning. He previously served as an Assistant Professor at Georgetown University and brings a strong academic foundation from a PhD in Mathematics (University of Maryland) and MS/BS from Texas A&M. His work blends rigorous analysis, algorithm design, and software implementation—skills honed during postdoctoral research at Duke and research on dimension reduction and compressed classification. Nate routinely bridges academia and government research, leading teams to operationalize advanced statistical techniques for real-world problems. Colleagues value his ability to move from Matlab prototyping to scalable code while maintaining theoretical guarantees. Based in Chevy Chase, MD, he pairs deep theoretical insight with practical engineering to deliver robust, interpretable data-driven solutions.
10 years of coding experience
15 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at University of MarylandMS, Mathematics, MS, Mathematics at Texas A&M University
Github Skills (3)
querying5
python2
julia2
Github contributions (5)
n8epi/ANLY561
Aug 2017 - Nov 2018
Contributions:37 commits, 31 pushes in 1 year 3 months
n8epi/gmRa
Mar 2016 - Sep 2016
Contributions:4 commits, 3 pushes, 1 branch in 6 months
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