Katie Dixon
Postdoctoral Researcher at University of Chicago
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolKatie Dixon is a postdoctoral researcher and quantitative ecologist with 11 years of experience applying statistical and mathematical models to climate, conservation, and infectious disease problems. She holds a PhD from the University of Chicago and builds high-performance models in R, Python, and Julia to study pathogen competition, spatial heterogeneity, and eco-evolutionary dynamics. Her work blends field experiments with machine learning and mechanistic modeling to project how climate variability shapes population and disease outcomes, informing management decisions with partners like the USDA. She also develops and teaches practical programming courses for biologists, translating complex computational methods into accessible training. Known for creating a novel two-pathogen model that incorporates environmental stochasticity, she brings both rigorous theory and hands-on data skills to interdisciplinary teams. Based in Chicago, she combines deep domain knowledge with reproducible, high-performance code to tackle real-world ecological challenges.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree, Ecology and Evolutionary Biology, Master’s Degree, Ecology and Evolutionary Biology at Case Western Reserve UniversityMarine Sciences, Marine Sciences at Galapagos Academic Institute for Arts and SciencesDoctor of Philosophy - PhD, Ecology and Evolutionary Biology, Doctor of Philosophy - PhD, Ecology and Evolutionary Biology at University of ChicagoGithub contributions (5)
kpd19/kpd19.github.io
Feb 2020 - May 2023
Minimal Mistakes GitHub Pages site starter
Contributions:145 pushes in 3 years 3 months
github-pages-sitemistakes
kpd19/Two_Pathogen_Evolution
Nov 2022 - Apr 2025
Contributions:120 pushes, 1 branch in 2 years 5 months
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