Nicholas J. Seewald, PhD is an Assistant Professor in the Department of Biostatistics, Epidemiology and Informatics in the Perelman School of Medicine at the University of Pennsylvania. Previously, Dr. Seewald served as a postdoctoral fellow at the Johns Hopkins Bloomberg School of Public Health. Dr. Seewald earned a BS in Mathematics with Life Science from the University of Notre Dame (2013), and then continued his academic career at the University of Michigan where he obtained an MS in Biostatistics (2015), an MA in Statistics (2018), and a PhD in Statistics (2021). 

Dr. Seewald’s methodological research is primarily related to causal inference using complex repeated measures data, using both experimental and non-experimental approaches, particularly difference-in-differences and the design and analysis of sequential multiple-assignment randomized trials (SMARTs). His work is motivated by problems across a wide array of applications, including oncology, substance use and related policy, chronic disease, and mobile health, and spans the entire investigative process from formulating a research question through study design and data analysis. He is deeply interested in building tools to address important statistical issues in a way that is accessible and understandable to applied researchers.