Daniel Larremore is an Omidyar Fellow at the Santa Fe Institute. His research develops statistical and inferential methods for analyzing large-scale network data and uses those methods to solve applied problems in diverse domains, including public health and academic labor markets. Prior to joining the Santa Fe Institute, he was a post-doctoral fellow at the Harvard T.H. Chan School of Public Health 2012–2015. He obtained his PhD in applied mathematics from the University of Colorado at Boulder in 2012 and holds an undergraduate degree from Washington University in St. Louis.