Jake Conway is a biomedical data science manager with 11 years of experience applying computational biology and machine learning to oncology, currently leading a team at PathAI. He progressed from PhD research at Harvard/Dana-Farber—where he modeled tumor evolution, genomic correlates of immunotherapy response, and developed deep learning predictors—to productionizing AI-driven pathology solutions. Jake blends rigorous academic training in bioinformatics with hands-on data science, navigating both experimental genomics and scalable model deployment. Based in Methuen, MA, he is driven by translating insights about clonal architecture and oncogenic processes into clinically meaningful tools. An unspoken strength is his ability to bridge domain specialists and engineers, turning complex research questions into reliable product features.
10 years of coding experience
2 years of employment as a software developer
UMass Lowell
Doctor of Philosophy (Ph.D.) Bioinformatics and Integrative Genomics, Doctor of Philosophy (Ph.D.) Bioinformatics and Integrative Genomics at Harvard Medical School
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