Barb Banbury - Computational Biologist

Barb Banbury

Computational Biologist

Seattle, Washington, United States

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Summary

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Senior

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Top School

Barb Banbury is a computational biologist with 13 years of experience applying statistical and computational methods to translational immunology and genomics. She currently drives data-driven discovery at Adaptive Biotechnologies after honing quantitative skills as a statistical analyst at Fred Hutch and in multiple postdoctoral roles at University of Washington and University of Tennessee. Trained through a PhD from Washington State University and an MS from Missouri S&T, she blends rigorous academic research with industry-focused product pipelines. Her work sits at the intersection of statistics, bioinformatics, and translational science, turning complex immune repertoire data into actionable insights. Based in Seattle, she is comfortable navigating both exploratory research and production-scale analyses, often bridging communication between wet-lab teams and computational engineering. A detail not always obvious from titles: she has repeatedly transitioned from pure research into applied biotech roles, signaling a practical bent for moving methods toward real-world impact.

13 years of coding experience

University of Kansas

Master of Science (MS), Master of Science (MS) at Missouri University of Science and Technology

Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Washington State University

Spanish

Github Skills (10)

r-package10

gwas6

eol5

manhattan5

genomics4

cran3

python1

macos1

statusbar1

Programming languages (3)

RJavaScriptHTML

Github contributions (5)

bbanbury/phyloextra

Aug 2012 - Nov 2014

Contributions:17 commits in 2 years 3 months

bbanbury/phrynomics

Dec 2013 - Jul 2016

A collection of R code for dealing with SNP data and analyses

Contributions:139 commits, 1 PR, 15 pushes in 2 years 7 months

r-packagesnpsnp-dataanalyses

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