Peter Combs is a Staff Computational Biologist with 15 years of experience applying scalable, reproducible computational methods to challenging biological problems, currently based in San Francisco and working at Freenome. He combines hands-on data generation and targeted experiments with advanced analytics—building visualizations for multidimensional datasets and developing statistical approaches like differential allele-specific expression. His background spans academia and industry, including PhD-level work in spatial RNA-seq in Drosophila at UC Berkeley and roles advancing variant interpretation and dry-lab operations at Invitae. Peter is a proponent of robust computational practices (Snakemake, GitHub, code review) and has a strong track record of communicating results through conferences and peer-reviewed publications. Notably, he bridges wet-lab intuition and computational rigor, often following up in silico leads with small-scale experiments to validate biological hypotheses.
15 years of coding experience
8 years of employment as a software developer
PhD Biophysics, PhD Biophysics at University of California, Berkeley
The Harker School
Bachelor of Arts (B.A.) 2008, Bachelor of Arts (B.A.) 2008 at Princeton University
Contributions:35 commits, 9 pushes, 2 branches in 2 years 5 months
bamspipelinefastqcountsrepackage
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