The Capra Lab seeks to understand how evolutionary processes have shaped human genomes and to quantify the functional relevance of specific genetic differences between individual humans and closely related species. We address these questions by applying algorithms and statistical models to ancient and modern genomes. We integrate large-scale genome-wide genotype and phenotype data, including electronic health record data. We also collaborate closely with clinicians and disease-focused biologists in the Undiagnosed Diseases Network and the March of Dimes Prematurity Research Center. Achieving these goals is critically important to answering fundamental questions about human evolution and to the application of genomics in clinical settings.