Zach Kagin is a founder and seasoned technology leader based in San Francisco who blends 11 years of hands-on engineering with 15 years of team and product leadership focused on AI-driven biology and longevity. He led a 15-person AI research team at Genesis Therapeutics, building models for protein structure, conditional molecular generation, and binding affinity prediction while also shipping a full-stack internal platform for virtual screening and cluster management. Prior roles at Dropbox and BCG gave him deep product, analytics, and growth experience across mobile, web, and data science, enabling him to bridge research and product delivery effectively. Zach has applied Bay Area engineering practices internationally as a consultant and advisor, bringing startup rigor to early-stage education tech in Colombia. He’s driven by using software and ML to improve our understanding of biology and has contributed to advancing a pan-mutant allosteric PIK3CA inhibitor—evidence of his ability to translate research into therapeutic progress. His background in physics and economics from Yale underpins a quantitative, interdisciplinary approach to hard problems.
11 years of coding experience
13 years of employment as a software developer
B.S; B.A Physics; Economics, B.S; B.A Physics; Economics at Yale University
Contributions:29 pushes, 1 branch in 3 years 1 month
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