I'm currently an Assistant Professor of Biostatistics at the University of Pennsylvania. Prior to joining the faculty at Penn, I was a post-doctoral researcher in the PennSIVE lab at the University of Pennsylvania. My primary research interest is the development of statistical methods for analyzing large neuroimaging data sets with the goal of understanding disease processes in the brain. The majority of my projects involve working with structural and functional MRI. I collaborate regularly with experts in psychiatry, radiology, and neurology. I'm also an affiliated faculty member in the Center for Health Incentives and Behavioral Economics at Penn.
In Fall 2015, I took a 3 month leave from my post-doc at Penn to attend the Fall 1 batch of the Recurse Center. I used that time to become more familiar with Python and web application development.
I earned my Ph.D. in Statistics from North Carolina State University in 2014. My dissertation proposed novel estimators for optimal dynamic treatment regimes that target non-mean summaries (e.g., quantiles) of a patient outcome distribution. In addition, I developed estimators for optimal dynamic treatment regimes that balance tradeoffs between competing outcomes such as drug efficacy and side effect burden. I'm currently collaborating on the design of several Sequential Multiple Assignment Randomized Trials (SMARTs) and plan to continue this avenue of research at Penn.
Before pursuing a career in statistics, I graduated from the University of Michigan with a degree in Euphonium Performance.