Josh Jacobson
Visiting Assistant Professor at University of Colorado Boulder
Boulder, Colorado, United States
Summary
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Senior🎓
Top SchoolJosh Jacobson is a Visiting Assistant Professor and PhD candidate in Statistics with nine years of research and industry experience applying spatial and spatio-temporal methods to climate and environmental problems. Trained in applied mathematics at the University of Colorado Boulder and currently completing doctoral work at the University of Wollongong, he blends Bayesian inference, computational statistics, and big-data workflows to tackle real-world climate questions. His experience spans academia and industry, including multiple roles at Jupiter Intelligence where he converted climate data into deployable insights. Based in Boulder, he balances teaching and research with practical data-science product experience, and his work often emphasizes scalable computation for high-resolution environmental datasets. An undercurrent of his profile is a strong focus on translating advanced statistical theory into tools and analyses that inform climate risk and decision-making.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of WollongongMaster of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at University of Colorado Boulder
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (46)
parallel-coordinates10
coordinates10
multi-objective-optimization9
bayesian9
fusion9
cpp8
optimization8
python8
conda8
filesystem8
exploratory8
visualization7
bayesian-inference7
package-manager7
windows6
Programming languages (6)
Github contributions (5)
joshhjacobson/FTE
Dec 2019 - Sep 2020
The Fraction of Threshold Exceedance (FTE) metric for verification of spatial structure in ensembles of forecast fields
Contributions:3 releases, 23 commits, 2 PRs in 9 months
fractionspatialthresholdforecastfields
joshhjacobson/sif-xco2-cokriging
Sep 2020 - Jan 2023
Bivariate spatial prediction for SIF and XCO2 from OCO-2 retrievals
Contributions:196 commits, 13 PRs, 219 pushes in 2 years 4 months
statisticalsifdata-fusionfusionstatistical-data
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