Matthew Espe
Postdoctoral Researcher at UC Davis Data Science Initiative
Davis, California, United States
Summary
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Senior🎓
Top SchoolMatthew Espe is a postdoctoral researcher and agronomist at UC Davis with 11 years of experience studying crop yield variability and translating historical drivers of productivity into actionable insights for food security. He blends deep agroecology training (PhD and MS) with applied data science to build tools, teach best practices, and enable interdisciplinary teams to collect, manage, and analyze agricultural data more efficiently. His work spans field-focused research and software-enabled workflows, improving how researchers scale experiments and interpret long-term yield patterns. Based in Davis, CA, he brings a rare combination of hands-on crop science, programming-driven tool development, and a global perspective from prior international studies.
11 years of coding experience
Doctor of Philosophy - PhD, Agroecology and Sustainable Agriculture, Doctor of Philosophy - PhD, Agroecology and Sustainable Agriculture at University of California, DavisBachelor of Arts - BA, International/Global Studies, Bachelor of Arts - BA, International/Global Studies at Colorado State University
Github Skills (47)
bayesian-statistics10
r-package10
bayesian-data-analysis10
r10
mcmc10
rstan10
stan10
bayesian-inference10
sampling9
rstanarm9
bayesian8
crossword8
bayesian-methods7
regression6
tesseract6
Programming languages (3)
Github contributions (5)
mespe/SolRad
Jan 2017 - Jun 2017
Contributions:69 commits, 53 pushes, 2 branches in 4 months
fishsciences/artemis
Jun 2019 - Dec 2022
Assessing Response To E-DNA Methods In Sampling
Contributions:2 releases, 538 commits, 1 PR in 3 years 6 months
samplingdna
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