John Paige
Associate Professor Of Statistics
Portland, Oregon, United States
Summary
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Senior🎓
Top SchoolJohn Paige is an Associate Professor of Statistics and senior researcher with 11 years of experience applying advanced statistical methods to climate and spatial problems. He combines academic rigor—from a PhD in statistics at the University of Washington—with hands-on computational work, including parallelizing spatial likelihoods on supercomputers and building tools to convert netCDF climate simulations for spectral analysis. His research spans uncertainty quantification for climate models, MCMC, graphical modeling, statistical emulation, and high-dimensional inference, and he has published collaborative work on biological swarming and climate feedbacks. Based in Portland, he is known for translating complex theory into efficient, parallel implementations that accelerate real-world scientific workflows.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Applied Mathematics and Statistics, 3.8 (magna cum laude), Bachelor of Arts (B.A.), Applied Mathematics and Statistics, 3.8 (magna cum laude) at Macalester CollegeHigh School Diploma, High School Diploma at Catlin Gabel High School
English, French
Github Skills (2)
r-package9
bayesian-inference7
Programming languages (2)
Github contributions (5)
paigejo/LK-INLA
Jun 2018 - Aug 2021
Contributions:192 pushes, 1 branch in 3 years 2 months
paigejo/jittering
Apr 2021 - Feb 2024
Contributions:194 pushes, 1 branch in 2 years 10 months
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