Summary
Matt Durrant is a life science researcher and computational biologist with a decade of experience bridging genomics, machine learning, and molecular tool discovery. He earned a PhD in Genetics from Stanford and has led research programs at Arc Institute (where he published on recombinases and genomic language models), consulted in industry, and mined large biological datasets at UC Berkeley. Currently at Anthropic, he focuses on biological applications of AI, following a stint as a senior scientist and principal research scientist developing Evo language models and characterizing novel recombinases. Comfortable moving between wet-lab collaborations and computational method development, he has a track record of turning mobile genetic elements into engineered tools. An entrepreneurially minded researcher, he co-founded a med-tech startup early in his career and has repeatedly translated academic insights into practical platforms.
10 years of coding experience
8 years of employment as a software developer
BS, Bioinformatics, Neuroscience, Minor in Mathematics, Summa Cum Laude, BS, Bioinformatics, Neuroscience, Minor in Mathematics, Summa Cum Laude at Brigham Young University
Hillcrest High School
PhD, Genetics, PhD, Genetics at Stanford University
English, Slovak