The Conti Lab performs research in genetic and environmental epidemiology. This includes development of statistical methods and applied collaborations. Methodological research aims to integrate multiple omic measurements, biological knowledge, and external prior information in statistical modeling, primarily focusing on the use of Bayesian hierarchical models. Current applied work involves collaborative projects in prostate, breast and pancreatic cancers, liver disease, and diabetes-related endpoints. These studies investigate mutliple omic layers, including the genome, exposome and metabolome.