Steve Horvath, PhD
Professor, Human Genetics and Biostatistics
About
He develops statistical and bioinformatics methods for studying cancer genetics and complex disease mapping. His research interests include gene networks, systems biology, allelic association tests for mapping complex disease genes, and data mining methods. His research in data mining focuses on supervised and unsupervised methods for analyzing gene expression data. A major focus of his lab is the development of molecular biomarkers of aging, and his epigenetic clock research has garnered international recognition.