Summary
Evan Cofer is a Senior Machine Learning Scientist in the Bay Area with a decade of experience applying deep learning and scalable algorithms to genomics and synthetic biology. He earned a PhD in Quantitative and Computational Biology from Princeton (advised by Olga Troyanskaya) and completed a postdoc in Debbie Marks' lab at Harvard Medical School, combining rigorous research with hands-on engineering. Evan has moved seamlessly between academia and industry, developing ML-driven bioinformatics at Asimov and now leading ML efforts at Hippo Harvest to translate genomic insights into deployable systems. His background spans large-scale cloud-based analyses of metagenomic datasets, mentorship of students, and production-focused model development. Notably, his undergraduate honors work processed trillions of sequencing reads with deep learning—an early signal of his ability to operationalize massive biological data. He is motivated by using technological innovation to advance scientific knowledge and build scalable solutions for real-world biology.
10 years of coding experience
2 years of employment as a software developer
High School, High School at Keystone School
Bachelor of Science (B.S.), Computer Science, CS GPA: 3.93, Bachelor of Science (B.S.), Computer Science, CS GPA: 3.93 at Trinity University
Doctor of Philosophy - PhD, Quantitative and Computational Biology, Doctor of Philosophy - PhD, Quantitative and Computational Biology at Princeton University
English