Summary
Peter Beerli is a professor and computational biologist with 17+ years of academic experience specializing in population genetics and probabilistic inference. Based at Florida State University, he develops Bayesian and computational methods to infer gene flow, divergence, and historical range dynamics among closely related species. His work bridges theory, method development, and empirical collaboration, applying rigorous statistical models to spatial and temporal questions in evolutionary biology. Trained with a PhD in zoology from the University of Zurich and early mentorship under Joseph Felsenstein, he combines deep mathematical grounding with practical software implementations. Notably, he pursues novel inference approaches that test biological hypotheses across real datasets, making his research both methodologically innovative and directly relevant to field biologists.
16 years of coding experience
20 years of employment as a software developer
PhD, zoology, PhD, zoology at University of Zurich
English, German, German, French