Research Scholar at North Carolina State University
Chapel Hill, North Carolina, United States
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Summary
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Senior
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Top School
Chris Jones is a research scholar and geospatial data scientist with nine years of experience applying data science, machine learning, and high-performance computing to ecological and forest health problems. He leads development of the first parallel epidemiological model within the LANDIS-II framework and drives an open-source, generalizable pest-and-pathogen forecasting platform (PoPS) used by decision makers including USDA APHIS. His work blends CUDA-enabled parallelization, MCMC, and ML-derived dispersal kernels to scale landscape-level succession and disease spread models for real-world management in places like Big Sur. Trained to PhD level in geography, he pairs rigorous statistical hypothesis testing with practical GIS and engineering experience—from municipal water modeling to avionics—bringing both scientific rigor and systems-level implementation skills. Colleagues rely on him to translate complex ecological processes into robust, production-ready tools that inform policy and on-the-ground interventions.
9 years of coding experience
Associate's Degree, Business Administration and Management, General, Associate's Degree, Business Administration and Management, General at University of Phoenix
Bachelor's Degree, Environmental Science, Graduated with Highest Honors, Bachelor's Degree, Environmental Science, Graduated with Highest Honors at University of North Carolina at Chapel Hill
Contributions:5 releases, 13 reviews, 483 commits in 4 years 6 months
pathogenr-packagepathogen-spreadinsectsimulation
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Chris Jones - Research Scholar at North Carolina State University