Austin Hurst-manny
Advisor (Computational Biology)
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAustin Hurst-manny is a computational biologist with nine years of cross-sector experience applying bioinformatics and molecular biology to accelerate genetic medicine development. Currently advising in computational biology at Eli Lilly after helping scale Verve Therapeutics’ sequencing-driven programs, he designs analyses and experiments that translate high-throughput ‘omics data into actionable insights for therapeutic programs. His background spans discovery virology (PhD work that identified a novel dsRNA virus), AAV vector sequencing at Vertex, and building reproducible NGS pipelines, reflecting both wet-lab chops and production-grade computational skills. Comfortable leading cross-functional teams, he pairs regulatory and field experience from environmental and public-health labs with a track record of shipping methods that directly inform drug design. An unexpected throughline in his career is translating investigative curiosity—finding viruses hiding in public culture collections—into practical strategies for de-risking genetic therapies.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Virology, Doctor of Philosophy - PhD, Virology at Harvard Medical SchoolAssociate of Arts (A.A.), Biochemistry, Associate of Arts (A.A.), Biochemistry at Florida State College at JacksonvilleBachelor of Science (B.S.), Major: Microbiology & Cell Science, Minor: Bioinformatics, Bachelor of Science (B.S.), Major: Microbiology & Cell Science, Minor: Bioinformatics at University of Florida
Github Skills (16)
meta-analysis7
biodiversity7
genomics-visualization5
classification5
taxonomy5
assembly5
ancestry5
comparative-genomics4
python4
genomics3
machine-learning3
bioinformatics3
cancer-genomics3
aws2
open-science2
Programming languages (5)
Github contributions (5)
austinreidmanny/raven-nf
Jul 2020 - Mar 2022
Contributions:36 commits, 3 pushes, 1 branch in 1 year 8 months
austinreidmanny/raven
Jan 2019 - Sep 2019
De Novo Assembly & TAXonomic classification pipline
Contributions:130 commits, 2 PRs, 33 pushes in 8 months
pythonde-novo-assemblybiodiversitymachine-learningmeta-analysis
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