My current work involves three complementary research themes: (1) experimental design and data analytic methods to inform multi-stage decision making in health; (2) statistical modeling of complex longitudinal and survival data; and (3) statistical modeling of complex relational structures such as interaction networks. In the coming years, I will continue to design and apply novel statistical methodologies to make sense of complex longitudinal, survival, and relational datasets. This work will inform decision making in health by aiding in intervention evaluation and development. Outside of my research, I enjoy exploring Ann Arbor with my wife, our 2 year old, and our 2 beagles. I was an avid soccer player, but I am now pursuring knee friendly exercise.
Prior to joining, I was a postdoctoral fellow in the Department of Statistics at Harvard University. My fellowship was in the Statistical Reinforcement Learning Lab under the supervision of Susan Murphy. I received my PhD in Statistics at the University of Chicago under the supervision of Peter McCullagh.
This page was last updated at 2023-06-19 17:52.