- Ph. D. Mathematics, University of Arizona
- B.A. Mathematics, Beloit College
I’m a mathematician by training. My dissertation and first published paper focused on Poisson Lie theory, which combines elements of algebra and differential geometry. In recent year, however, I have pivoted toward more applied topics–board game analysis, gerrymandering, applications of machine learning, for example. As a consequence, the tools I use have shifted from abstract arguments to computer simulations. I am especially interested in how Monte Carlo simulations, optimization algorithms, and machine learning techniques can be applied to real-world situations. I am also interested in how graphical representations of data can be used to support quantitative reasoning.
In my spare time, I enjoy challenging myself by trying new activities for which I have no natural ability. Recently, I have taken up long distance longboarding, and the fact that I am not good at it only increases my motivation. I also enjoy skate skiing, rock climbing, and mountain biking.