I develop statistical methodology for the design and analysis of randomized trials which yield complex longitudinal data for precision health. Specifically, I focus on methods that aid in the construction of decision rules which specify for whom to provide what treatment and when. I take a broad approach to this, seeking to make an impact in both statistics and domain sciences from a project’s inception to the dissemination of results.
My Ph.D. is supervised by Daniel Almirall, Ph.D., and I’m a member of the Data Science for Dynamic Intervention Decision-Making lab at the University of Michigan’s Institute for Social Research.
PhD in Statistics, 2020 (expected)
University of Michigan
MA in Statistics, 2018
University of Michigan
MS in Biostatistics, 2015
University of Michigan
BS in Mathematics, 2013
University of Notre Dame
An interactive sample size calculator for micro-randomized trials
An online sample size calculator for binary- and continuous-outcome SMARTs