Daniel Sewell received his PhD in statistics from the University of Illinois in 2015.  He is currently an assistant professor of Biostatistics in the College of Public Health at the University of Iowa.  His primary area of research is in statistical models and inference for network data, and in particular the statistical analysis of dynamic social networks.  He has also contributed to other subfields of statistics, such as clustering and particle filtering, and holds interest in broad research topic areas such as Bayesian statistics and statistical computation.  As a graduate student, he was selected as a student presenter at the Midwest Statistical Research Colloquium, was a finalist for the Norton Prize for Outstanding Doctoral Thesis in Statistics, and, along with his collaborators from the University of Illinois, won the Patrick J. Fett Award for best paper on the scientific study of Congress and the Presidency.  He has collaborated with and provided consulting for a large number of researchers in over fifteen distinct fields of study.  He has presented at various conferences and universities, acted as a reviewer for several statistical journals, is a member of the American Statistical Association, the Institute of Mathematical Statistics and the International Society for Bayesian Analysis.