Summary
Kenneth Hoehn is an assistant professor and computational immunologist with nine years of experience applying evolutionary genetics and phylogenetic methods to B cell biology in infection, vaccination, and autoimmune disease. He develops statistical models and open-source tools—most notably IgPhyML and Dowser within the Immcantation framework—to trace mutation, selection, migration, and differentiation in antibody repertoires. His work bridges deep method development with experimental collaboration, informing studies of COVID-19, influenza vaccination, and myasthenia gravis. Trained at Duke and Oxford as a Marshall Scholar and built on a postdoctoral slate at Yale, he combines rigorous genomic-statistical training with hands-on teaching and pipeline engineering. Colleagues value his ability to translate complex evolutionary models into usable software that advances both basic research and translational immunology.
9 years of coding experience
6 years of employment as a software developer
D.Phil (PhD), Genomic Medicine and Statistics, D.Phil (PhD), Genomic Medicine and Statistics at University of Oxford
Bachelor of Science (B.Sc), Biology, Computational Biology and Bioinformatics (minor), Bachelor of Science (B.Sc), Biology, Computational Biology and Bioinformatics (minor) at Duke University
Creekview High School