Bioinformatics, Biological Sciences, Genetics, Genomics, Precision Health
Bayesian Methods, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics
Relevant Projects:

Jonathan Terhorst

Assistant Professor


I develop probabilistic and statistical models to analyze genetic and genomic data. We use these methods to study evolution, natural selection, and human history. Recently, I have been interested in applying these techniques to study viral epidemics (e.g., HIV) and cancer.

Estimates of recent effective population sizes for various human subpopulations.