We are a group of statisticians, mathematicians, and computer scientists broadly interested in statistical and probabilistic models of biological data. To date, our work has mainly centered on problems arising in evolutionary biology, but we are always keen to learn about new areas and help other scientists understand their data. Please get in touch if this sounds like you!
Group members
Selected recent papers
- Linkage disequilibrium moderates how evolving genetic background shapes variant-level architecture — bioRxiv preprint (2026).
- Population-scale ancestral recombination graphs with tskit 1.0 — Nature Methods (2026).
- Faster inference of complex demographic models from large allele frequency spectra — Bioinformatics (2026).
- Parameterizing the genetic architecture under stabilizing selection — Genetics (2026).
- Accelerated Bayesian inference of population size history from recombining sequence data — Nature Genetics (2025).
- A geographic history of human genetic ancestry — Science (2025).
Contact information
E-mail is the preferred method of contact: jonth@umich.edu. Snail mail should be sent to:
Jonathan Terhorst
252 West Hall
University of Michigan
Ann Arbor, MI 48109
Funding
Our research is supported by the National Science Foundation (DMS-2052653) and National Institutes of Health (R35GM151145). Thanks!
