The Sethuraman Lab develops and applies new statistical methods and computational tools to estimate evolutionary history from population-scale genomic data. We are specifically interested in the genomics of structured populations, and estimating signatures of drift, admixture, and selection. These tools are widely applied in the fields of conservation, agriculture, forensics, genetic ancestry, and the study of human evolution.