Nathan Jackson is a bioinformatics scientist in Denver with 10 years of experience turning large-scale transcriptomic data into biological insight, with a focus on human lung disease using bulk and single-cell RNA-seq. Trained as an evolutionary biologist and ecologist (PhD, LSU), he brings a quantitative toolkit spanning simulation and statistical modeling to bridge conservation genetics and medical genomics. At National Jewish Health he combines population-genetic thinking with applied bioinformatics to reveal how genetic and environmental processes vary across cell types. His prior academic work produced an R package for population genetic model selection and advanced simulation frameworks linking landscape features to genetic diversity. Comfortable both developing software tools and teaching complex topics, he blends rigorous research methods with practical data-analysis pipelines. Colleagues describe him as a scientist who translates deep evolutionary perspective into clinically relevant genomic analyses.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Biological Sciences, Doctor of Philosophy (PhD), Biological Sciences at Louisiana State University
Master’s Degree (MSc), Integrative Biology, Master’s Degree (MSc), Integrative Biology at Brigham Young University
Contributions:160 commits, 160 pushes, 9 comments in 3 years 8 months
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