Kelsy Cotto

Senior Computational Biologist

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Kelsy Cotto is a Senior Computational Biologist with nine years of experience applying immunogenomics and multi-omic analysis to drive biological insight and translational research. Based in the San Francisco Bay Area, she moved from a PhD at Washington University in St. Louis to a senior role at Shennon Biotechnologies, where she focuses on integrating complex datasets to inform immunology-focused pipelines. She combines deep statistical and computational skill with practical experimental awareness, enabling reproducible, production-ready analyses that bridge academia and industry. As a former graduate researcher in the Griffith lab, she brings a strong background in cutting-edge single-cell and immune repertoire methods rarely found outside specialist labs. Colleagues describe her as both analytically rigorous and adept at communicating results to cross-functional teams, making her a catalyst for translational projects.
code9 years of coding experience
bookBachelor’s Degree, Bachelor’s Degree at Mercer University
bookDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Washington University School of Medicine in St. Louis
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Github Skills (23)

genome10
integrate10
seq10
medicine10
gene-expression10
interaction10
rna-seq10
bioinformatics10
genomics10
genes9
static-site9
frontend8
database8
rails8
ruby8

Programming languages (7)

C++SCSSJavaScriptHTMLPerlJupyter NotebookRuby

Github contributions (5)

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griffithlab/regtools

Apr 2019 - Jan 2023

Integrate DNA-seq and RNA-seq data to identify mutations that are associated with regulatory effects on gene expression.
Contributions:8 releases, 1 review, 228 commits in 3 years 9 months
regulatoryrnaseqdnagene-expressiongenomics
griffithlab/rnabio.org

Nov 2018 - Nov 2022

website for the rnaseq course
Contributions:526 commits, 22 PRs, 455 pushes in 4 years 1 month
rnaseq
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Kelsy Cotto - Senior Computational Biologist