Nathan Sheffield
Associate Professor Of Genome Sciences
Charlottesville, Virginia, United States
Summary
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SeniorNathan Sheffield is an associate professor and leader of the DataBio research group at the University of Virginia, with 15 years of experience and over 60 publications at the intersection of machine learning and genome biology. He leads NIH-funded work on epigenomics and develops community data standards through roles with the Global Alliance for Genomics and Health and the Research Data Alliance. His lab builds practical scientific software—Refgenie, BEDbase, and PEPhub—that enable reproducible, cloud-ready genomics workflows and ML-powered vector search for high-performance human query. With affiliate appointments across biomedical engineering, biochemistry, and data science, he combines deep computational methods with systems-level thinking and a track record of translating tools into shared infrastructure. As founding Director of Graduate Studies for UVA’s Computational Biology PhD program, he also mentors the next generation of computational genome scientists.
11 years of coding experience
9 years of employment as a software developer
Swedish
Stackoverflow
3,133reputation
121kreached
35answers
19questions
Github Skills (200)
biblatex10
metadata10
specification10
schema10
modular10
git-workflow10
distributions10
cran10
python10
api-client10
seq10
genome-assembly10
rcpp10
citation10
academia10
Programming languages (25)
Github contributions (5)
databio/example_analysis
May 2016 - Oct 2020
Contributions:33 pushes, 5 branches in 4 years 5 months
databio/sciquill
Dec 2017 - Jan 2023
Author academic documents in markdown
Contributions:1 release, 180 commits, 4 PRs in 5 years 2 months
markdownacademic-publishingcv-template
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