Paul Petrowski is a Bioinformatics Engineer in Palo Alto with eight years of experience designing scalable genomics pipelines that translate NGS data into insights about how genetic variation impacts human disease. He currently builds cloud-native Nextflow workflows and joint variant calling systems for rare disease research at Stanford Medicine, drawing on a background that spans agricultural genomics and client-facing data science. Paul combines a molecular biology foundation (BS) and a Master's in Computational Biology with hands-on engineering skill—automating end-to-end pipelines, simulation models, and ML-driven phenotype analyses. He has a track record of integrating messy genotypic and phenotypic datasets into production-ready tools that accelerate discovery and decision-making. Known for a pragmatic, continuous-improvement mindset ("every day trying to git gud"), he balances research rigor with production reliability. Colleagues rely on him for turning complex bioinformatics requirements into reproducible, cloud-scalable solutions.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Molecular Biology, Bachelor of Science - BS, Molecular Biology at Stetson University
Contributions:4 releases, 89 commits, 85 pushes in 2 years
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