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tl;dr = networks, malaria parasites, computational social science, complex systems.

Daniel Larremore is an associateÌýprofessor in the Department of Computer Science and the . 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. In particular, his work focuses on generative models for networks, the ongoing evolution of the malaria parasite and the origins of social inequalities in academic hiring and careers. Prior to joining the ¶¶Òõ¶ÌÊÓƵ Boulder faculty, he was an Omidyar Fellow at the (2015-2017) and a post-doctoral fellow at the (2012-2015). He obtained his PhD in applied mathematics from ¶¶Òõ¶ÌÊÓƵ Boulder in 2012, and holds an undergraduate degree from Washington University in St. Louis.

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