Jeffrey Adrion
Staff Population Geneticist, ML Science
Salt Lake City, Utah, United States
Summary
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Senior🎓
Top SchoolJeffrey Adrion is a Staff Population Geneticist at Ancestry with a decade of experience applying machine learning and deep learning to large-scale genomic problems. He builds production-ready, scalable algorithms that blend deep learning, computational biology, and software engineering while prioritizing interpretability, reproducibility, and long-term infrastructure. His work spans academia and industry—from developing robust neural-network methods and standardized simulation models during a postdoc to leading ML-driven genomic products at Ancestry. Notably, he has a strong publication record and an NSF Graduate Research Fellowship, reflecting both rigorous research and practical delivery. Based in Salt Lake City, he thrives on turning complex population-genetic ideas into deployable systems that advance large-scale genomic inference.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Zoology, summa cum laude, Bachelor of Science - BS, Zoology, summa cum laude at North Carolina State UniversityDoctor of Philosophy - PhD, Population Genetics, Doctor of Philosophy - PhD, Population Genetics at Indiana University Bloomington
Github Skills (14)
recurrent-neural-networks10
genetic10
sequence9
genomics9
illumina9
genetics9
deep-learning8
simulation8
simulate8
bioinformatics7
population-genetics7
python6
inference4
tensorflow3
Programming languages (3)
Github contributions (5)
jradrion/TEFLoN
Jul 2017 - Mar 2021
TEFLoN uses paired-end illumina sequence data to discover and genotype transposable elements present in your samples.
Contributions:29 commits, 2 PRs, 88 pushes in 3 years 7 months
illumina
popsim-consortium/manuscript
Nov 2019 - May 2020
PopSim consortium manuscript
Contributions:24 commits, 24 PRs, 101 comments in 6 months
manuscriptconsortium
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