Dylan Hettinger
Geospatial Data Scientist And Statistician
Golden, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDylan Hettinger is a geospatial data scientist and statistician with 10+ years of experience translating large spatial datasets and terabytes of simulation output into policy-relevant insights for national energy and environmental programs. At NREL he leads probabilistic modeling, uncertainty quantification, and global sensitivity analysis—combining Gaussian processes, Bayesian hierarchical models, and spatial process frameworks to make complex system behavior interpretable and actionable. His PhD work extends spatial Sobol indices using LatticeKrig to enable scalable, interpretable sensitivity analysis on massive spatial fields. Prior roles in GIS automation and enterprise spatial databases delivered reproducible, high-throughput mapping workflows for federal projects and FEMA-compliant products. Dylan blends rigorous methodological development with stakeholder-focused communication, ensuring technical depth while making results accessible to non-technical decision makers. Based in Golden, Colorado, he thrives at the intersection of statistics, geospatial science, and energy policy.
10 years of coding experience
BS, Geography/Geographic Information Services, BS, Geography/Geographic Information Services at Appalachian State UniversityMSc Data Science, Applied Mathematics, MSc Data Science, Applied Mathematics at Colorado School of Mines
Stackoverflow
761reputation
68kreached
4answers
18questions
Github Skills (27)
morris8
uncertainty7
pip6
ruby-on-rails6
homebrew6
sensitivity-analysis6
anaconda6
indexing6
rvm6
python6
ruby6
plpgsql6
salib5
physics5
deep-learning5
Programming languages (4)
Github contributions (5)
dhetting/GregoryQuadrature
Apr 2024 - Apr 2024
Contributions:5 pushes, 1 comment, 1 issue in 7 days
dhetting/census_downloads
Apr 2020 - Apr 2020
Contributions:5 pushes, 1 branch in 1 day
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