Hi, I’m Nick.
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.
Interests
- Dynamic Treatment Regimens
- Sequential, Multiple-Assignment Randomized Trials
- Randomized Trial Design
- Complex Longitudinal Data
Education
-
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
