Jessica Guo
Assistant Professor at Harvey Mudd College
Claremont, California, United States
Summary
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Senior🎓
Top SchoolJessica Guo is an Assistant Professor and plant ecophysiologist who blends 11 years of research and data-science experience to study plant responses to climate change and teach STEM undergraduates at a liberal arts college. She builds custom Bayesian models for complex ecological datasets and has applied those skills as a data scientist and trainer at the University of Arizona. Her open-source contributions to the widely used PEcAn ecosystem toolbox demonstrate practical back-end and data-processing expertise—adding tests, refactoring meta-analysis modules, and improving result summarization. Trained with a PhD in Biology and a graduate certificate in Statistics, she pairs rigorous experimental ecology with reproducible computational workflows. Based in Claremont, CA, she brings a rare combination of field-savvy ecophysiology and production-focused software craftsmanship to climate-biology questions.
11 years of coding experience
5 years of employment as a software developer
Graduate certificate, Statistics, Graduate certificate, Statistics at Arizona State UniversityDoctor of Philosophy - PhD, Biology/Biological Sciences, General, Doctor of Philosophy - PhD, Biology/Biological Sciences, General at Northern Arizona UniversityBachelor of Arts - BA, Environmental Biology, Bachelor of Arts - BA, Environmental Biology at Columbia University
Github Skills (6)
data-science10
r10
testthat9
testing9
bayesian8
dplyr8
Programming languages (8)
Github contributions (5)
PecanProject/pecan
Nov 2020 - Feb 2021
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:4 reviews, 17 commits, 5 PRs in 2 months
Contributions summary:Jessica primarily contributed to the `pecanproject/pecan` repository by fixing bugs, adding features, and refactoring code within the codebase. Their commits focused on the `meta.analysis` module, adding identifier columns, and removing unnecessary data. They also worked on the `summarize.result` function and added tests, indicating involvement in data processing and analysis. This user demonstrated skills in modifying existing code and improving the functionality of the ecosystem analyzer project.
forecastingplantspecanbioinformaticscyberinfrastructure
PSInetRCN/PSInetRCN.github.io
Apr 2023 - Feb 2025
Website for PSInet: A Global Water Potential Network
Contributions:5 PRs, 54 pushes, 2 branches in 1 year 10 months
droughtempirical-dataglobal-communityheat-stressnetwork-science
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