Summary
Evan Koch is an assistant professor and computational biologist with a decade of experience in population, statistical, and evolutionary genetics, currently based at Yale School of Medicine. His research investigates how mutation and natural selection shape disease risk, blending theoretical population genetics with statistical analysis of human variation. Trained with a PhD in Ecology and Evolutionary Biology from the University of Chicago and shaped by postdoctoral work under Shamil Sunyaev at Harvard, he brings rigorous evolutionary insight to translational questions. He has applied this expertise in both academia and industry, consulting on population-genetic analyses for NGM Biopharmaceuticals. Known for combining analytical rigor with practical applications, he often bridges mutagenesis experiments and large-scale genomic data to reveal subtle forces influencing human disease.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Biology, Bachelor of Science - BS, Biology at The University of Texas at Austin
Doctor of Philosophy - PhD, Ecology and Evolutionary Biology, Doctor of Philosophy - PhD, Ecology and Evolutionary Biology at University of Chicago