Ryan Hernandez, PhD
Dr. Ryan Hernandez’ research focuses on computational genomics and complements the department’s emerging strengths in quantitative sciences and genomics: First, he seeks to characterize the patterns of genetic variation within and between populations using large-scale genome resequencing data. A second branch of research in his lab focuses on developing novel population genetic simulation techniques. Such simulations are used to lend insight into the plausible evolutionary forces that have shaped patterns of genetic variation, including the implications of complex interactions among selected alleles in non-stationary demographic environments. His third branch of research seeks to exploit population genetic models of demographic history and natural selection to interrogate the genetic basis of disease. By capitalizing on recent theoretical advances, Dr. Hernandez is constructing models of population dynamics that will utilize genomic re-sequencing data to discover novel regions of the genome that underlie genetic susceptibility to disease and drug response.