Julie White is a statistical geneticist with a decade of experience applying statistical, bioinformatics, and epidemiologic methods to disentangle how omics and environmental exposures shape human health. She currently leads analytic efforts at RTI International, building reproducible pipelines to study molecular and environmental contributors to substance use disorders and downstream health outcomes in adults and children. Her background includes epigenome- and proteome-wide association studies at NIEHS and GWAS of 3D facial phenotypes during her PhD, reflecting a knack for integrating diverse data types from methylation to imaging. Julie combines rigorous methodological development—automating QC, phasing, and imputation across ancestries—with practical epidemiologic modeling of real-world exposures like woodsmoke and tobacco. Colleagues rely on her for reproducible, interdisciplinary analyses that bridge lab-derived omics with population health questions. Based in Raleigh, she brings both deep technical rigor and an unusual breadth across genetics, exposure science, and reproducible computational workflows.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Clemson University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Penn State University
An R package for creating ggplot2 based miami plots.
Contributions:3 reviews, 157 commits, 1 PR in 2 years 3 months
r-packagemiamiggplot2plotrstats
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