David Conti, Ph.D. is the Associate Director for Data Science at USC Norris, the Kenneth T. Norris, Jr. Chair in Cancer Prevention, and a Professor in the Division of Biostatistics in the Department of Preventive Medicine. He was trained in Genetic Epidemiology and Biostatistics at Case Western Reserve University and was awarded the 2001 Roger Williams award from the International Genetic Epidemiology Society (IGES).
His research focuses on study design and statistical methods for genetic and environmental epidemiology. His methodological research aims to integrate biological knowledge in statistical modeling, primarily focusing on the use of Bayesian hierarchical models for genomic studies and integrated omics data analysis.
He is currently Director of the Data Science Core for a large program project investigating aggressive prostate cancer in African American men integrating the built environment, germline and somatic genetic profiles, gene expression and tumor microenvironment data. He is also Co-Investigator on a project focusing on the development of statistical methods for integrated genomics analysis, as well as numerous applied epidemiology studies. He has published over 200 scientific articles related to this work.