Hector Bravo
California, United States
Summary
👤
Senior🎓
Top SchoolHector Bravo is a computational biologist and AI leader with 18 years of experience building statistical, machine learning, and optimization methods for high-throughput genomics and disease-risk modeling. Currently VP of AI for Cell Biology at Lila Sciences after senior research and leadership roles at Genentech, he bridges academic rigor from a Ph.D. in computer science with industry-scale deployment of tools for cancer epigenetics, metagenomics, and assay preprocessing. Hector’s work spans algorithm design, data visualization, and scalable data management, and he has a track record of translating novel methods into applied genomics pipelines. Less obvious: he pairs this technical depth with formal musical training (MM and BM) and advanced study in performance, reflecting a rare combination of analytical precision and creative discipline. Based in California, he leads teams that turn complex genomic data into actionable biological insight.
18 years of coding experience
18 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of Wisconsin-MadisonDMA (ABD) Music Performance, DMA (ABD) Music Performance at Indiana University BloomingtonJohns Hopkins University
Spanish
Github Skills (89)
bioconductor10
genetic10
information-visualization10
sparse10
genome10
sequencing10
visualization10
bioinformatics10
javascript9
snakemake9
transcriptomics9
throughput9
genomics9
webservice9
r-package9
Programming languages (8)
Github contributions (5)
HCBravoLab/antiProfiles
Dec 2015 - Apr 2020
Contributions:3 pushes, 2 branches in 4 years 4 months
develreportssvnbug-reportsbioconductor
hcorrada/networks-across-scales
Aug 2013 - Nov 2019
Contributions:671 commits, 98 pushes, 9 branches in 6 years 4 months
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