Peter Yin is a software engineer and consultant with 11 years of experience building data engineering and application platforms for life sciences, currently contributing to Arc Institute and advising on AI-driven pharmaceutical workflows at Blue Matter. He led the design and implementation of a custom data lake at Calico that stores 170M+ scientific files (1.7PB), and has deep experience bridging lab automation, drivers, APIs, and analytics from his work at Zymergen and Transcriptic. His background in computational biology includes publications in Science and Bioinformatics and first-author work on Mendelian Randomization pipelines, giving him uncommon fluency in both experimental and computational research. Based in the Bay Area, he combines hands-on engineering with consulting agility, often translating messy lab data into production-grade, scalable systems.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Computational Biology, Bachelor of Arts (B.A.) Computational Biology at University of Pennsylvania
Contributions:14 commits, 13 pushes, 1 branch in 9 days
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