Detailed Biography:

My research lies at the interface of population genetics and computational statistics. Specifically, projects focus on developing and evaluating statistical methods for analyzing genomic-scale population genetic data. Much of this work investigates human evolutionary history using data from emerging genotyping and sequencing technologies, although other projects address evolutionary genetic questions in non-human, non-model organisms. One central area of current interest is in computational methods to study relatedness among populations and the applications these methods have for detecting natural selection, genome-wide association mapping, understanding population history, personal ancestry inference in humans, and conservation genetics. Most broadly, I am interested in how to decipher patterns of observed genetic variation to understand evolutionary, genomic, and ecological processes.