Nick Seewald is a Ph.D. candidate in the Department of Statistics at the University of Michigan. He is a methodologist interested in the design and analysis of randomized trials which enable the construction of effective adaptive interventions. Initially trained as a biostatistician, Nick has experience with analyzing data from multi-center cancer trials, as well as micro-randomized trials in mobile health. He has been teaching researchers about adaptive interventions and SMARTs since 2015.