Summary
Deren Eaton is an Associate Professor and computational biologist with nine years of experience leading a genomics-focused research lab that builds production-grade pipelines and widely used open-source Python tools for phylogenetics and comparative genomics. He designs and scales WGS, RNA-seq, and variant-calling workflows on HPC clusters, and combines classical statistical approaches with machine learning—including neural networks for inferring admixture on phylogenies. Deren has managed over $3.5M in research funding and directed multi-institutional projects, translating wet-lab questions into reproducible, production-ready analyses. His software has been adopted broadly across the scientific community, driving thousands of citations and enabling many labs to handle messy, large-scale datasets. He also trains the next generation of computational biologists, teaching advanced genomics, Python, and reproducible research practices at Columbia. Based in New York, he’s actively seeking opportunities to apply his blend of genomics, engineering, and leadership to biotech and academic research challenges.
9 years of coding experience
9 years of employment as a software developer
Ecology evolution and behavior, Ecology evolution and behavior at University of Minnesota
Doctor of Philosophy Evolutionary Biology, Doctor of Philosophy Evolutionary Biology at University of Chicago