Pete Haverty
Technology Senior Manager at Ginkgo Bioworks, Inc.
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolPete Haverty is a technology senior manager and bioinformatics leader based in San Francisco with over a decade of hands-on experience scaling genomic data platforms and teams. He has led cross-functional engineering and bioinformatics groups at Ginkgo, Zymergen, and Genentech to build production-grade pipelines and the world-scale metagenomic and WGS resources scientists rely on, including refactors that enabled 18X growth in sequencing volume and dramatic codebase simplifications. Pete blends scientific rigor (PhD-level bioinformatics) with practical software engineering, shipping self-service analysis GUIs and portals that turn complex genomics data into usable products for large research teams. He’s noted for mentoring engineers, recruiting high-performing teams, and translating scientist needs into robust, maintainable infrastructure—often reducing cognitive load so researchers can focus on discovery.
11 years of coding experience
12 years of employment as a software developer
B.S. Biology, Emphasis on Molecular Genetics and Microbial Physiology, Minor in Psychology, B.S. Biology, Emphasis on Molecular Genetics and Microbial Physiology, Minor in Psychology at University of California, DavisPh.D., Bioinformatics, Computational Biology, Ph.D., Bioinformatics, Computational Biology at Boston University
Stackoverflow
59reputation
251reached
5answers
0questions
Github Skills (157)
prediction-model10
programming-language10
r-language10
bioconductor10
julialang10
meta-tags10
root-finding10
science10
julia10
numerical10
machine-learning10
hpc10
petsc10
dna-sequences10
r9
Programming languages (9)
Github contributions (5)
phaverty/RLEVectors.jl
Sep 2019 - Oct 2022
Run Length Encoded vectors for julia, inspired by BioConductor.
Contributions:17 releases, 1 review, 60 commits in 3 years 1 month
encodedvectorslengthbioconductorjulia
phaverty/GenomicVectors.jl
Sep 2019 - Nov 2022
Computations on genome locations, inspired by BioConductor.
Contributions:14 releases, 50 commits, 20 PRs in 3 years 2 months
genomegenomicsbioconductorbioinformaticslocations
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