Daniel Larremore is an Assistant Professor in the Department of Computer Science and the BioFrontiers Institute, and an affiliate of the Department of Applied Mathematics, at the University of Colorado Boulder. His research develops statistical inference methods for analyzing epidemiological and network data, focusing on generative models for networks, the ongoing evolution and genetic epidemiology of malaria parasites, and the incorporation and propagation of uncertainty in epidemiological models. Prior to joining the faculty at the University of Colorado in 2017, he was an Omidyar Fellow at the Santa Fe Institute and a post-doctoral fellow at the Harvard T.H. Chan School of Public Health. He obtained his Ph.D. in Applied Mathematics from the University of Colorado Boulder in 2012, and holds an undergraduate degree in Chemical Engineering from Washington University in St. Louis.