Nathaniel Tippens is a data scientist and genomics-focused developer with 10 years of experience translating complex biological data into actionable models. As Co-Founder of Hypergraph Bio in San Francisco, he builds virtual cell models to accelerate drug target discovery, bridging computational biology with product-driven biotech. His background includes a PhD in Computational Biology from Cornell and postdoctoral work at MIT designing and screening RNA circuits, giving him deep expertise in wet-lab-aware modeling. Prior roles across startups and industry have honed his ability to move algorithms from prototype to applied discovery workflows. He combines hands-on machine learning aspirations with practical genomics tooling, reflecting both research rigor and startup execution. Notably, his profile signals a rare mix of computational depth and domain fluency that helps de-risk early-stage therapeutic hypotheses.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Cornell University
Bachelor of Science - BS Biomedical/Medical Engineering, Bachelor of Science - BS Biomedical/Medical Engineering at Johns Hopkins Whiting School of Engineering
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