As a result of new technologies, genetics research has become a data-rich discipline with enormous complex datasets. Our teams are developing algorithms, data formats, and software to interrogate these datasets and integrate genome, phenotype, and health record data to understand the relationship between genotype and phenotype and predict disease risk.
Professor; Associate Director, Utah Center for Genetic Discovery
Human genome interpretation; Application of genomics to clinical care; Chromosome stability and somatic genome evolution; Algorithm and genomics software development; Cancer genetics; Nucleotide repeat disorders; Population genomics; Genetics of complex disease
