Jonathan Terhorst
Applications:
Biological Sciences, Healthcare Research, Informatics
Methodologies:
Bayesian Methods, Data Mining, Machine Learning, Mathematical and Statistical Modeling, Statistics
Relevant Projects:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470542/


Jonathan Terhorst

Associate Professor of Statistics

Statistics

Assistant Professor of Statistics, College of Literature, Science, and the Arts

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.