After graduating from Washington University in St. Louis, Dr. Sarver received his Ph.D. in biology, emphasizing bioinformatics, evolutionary genomics, and phylogenetics, from the University of Idaho. He subsequently completed a postdoc in computational genetics and mouse genomics at the University of Montana. Dr. Sarver is interested in the development of techniques and computational tools to analyze genomic data in non-model, near-model, and model systems, especially using high-performance computing. In particular, he is curious about how new and existing computational techniques can be leveraged to identify the genetic basis of human disease and build genomic datasets in non-model systems, such as those lacking a reference genome. He has led or contributed to studies in a variety of systems, including humans, mice, chipmunks, bears, and fungi.