Steve Horvath, PhD, ScD

Dr. Steve Horvath is a researcher on aging and a bioinformatician whose research lies at the intersection of epidemiology, chronic diseases, epigenetics, genetics, and systems biology. He developed systems biologic approaches such as weighted gene co-expression network analysis. He works on all aspects of biomarker development, with a particular focus on genomic biomarkers of aging. He developed a highly accurate multi-tissue biomarker of aging known as the epigenetic clock. Salient features of the epigenetic clock include its high accuracy and its applicability to a broad spectrum of tissues and cell types. He develops and applies methods for analyzing and integrating gene expression, DNA methylation, microRNA, genetic marker, and complex phenotype data. His lab members apply and develop data mining methods to study a broad spectrum of diseases, e.g., aging research, cancer, cardiovascular disease, HIV, Huntington’s disease, and neurodegenerative diseases. Dr. Horvath received a Doctorate of Science in Biostatistics from the Harvard School of Public Health in 2000. He is a full professor in human genetics and biostatistics at UCLA.