Chris Stubben is a bioinformatics analyst with 14 years of experience applying machine learning, NLP, and statistical analysis to sequencing and genomic data. Based in Salt Lake City, he leads reproducible workflows and interactive visualizations at Huntsman Cancer Institute, analyzing CRISPR, microRNA, bulk, single-cell and spatial transcriptomics on HPC clusters. His earlier work at Los Alamos fused text-indexing and cloud biosurveillance with pathogen discovery, producing R packages and automated search systems that scaled to thousands of strains. Comfortable moving between hands-on pipeline engineering and client-facing consultation, he translates complex statistical methods into clear reports for researchers. With a Ph.D. in Biology and a background in biodiversity databases and Unix/Postgres tooling, he pairs deep domain knowledge with practical software and data-engineering skills.
14 years of coding experience
5 years of employment as a software developer
Ph.D., Biology, Ph.D., Biology at New Mexico State University
B.S, M.S., Botany, B.S, M.S., Botany at Brigham Young University
Contributions:29 commits, 28 pushes, 1 branch in 2 months
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