Summary
John Earls is a Senior AI Scientist and Ph.D. graduate from the University of Washington who blends deep machine learning and systems biology expertise to quantify health, aging, and disease from multi-omic, longitudinal data. He has translated research into impact by co-founding a startup and helping build products now part of Onegevity and Thorne Healthtech, where he directs Health Intelligence and builds computational tools that turn blood and omics measurements into personalized wellness interventions. With 13 years of experience across the Institute for Systems Biology, Arivale, and the Buck Institute, he’s comfortable moving work from prototype research to production-grade health products. His background spans software engineering, network analysis, integrative multi-omic systems analysis, aging and oncology, and he even sports an Erdős number of 4—an uncommon academic tidbit that hints at deep collaborative research roots.
13 years of coding experience
13 years of employment as a software developer
Ph.D., Computer Science and Engineering, Ph.D., Computer Science and Engineering at University of Washington
MS, Bioinformatics (Computer Science), MS, Bioinformatics (Computer Science) at University of Illinois Urbana-Champaign
BS, Computer Science, BS, Computer Science at Illinois State University