About me

I’m an Assistant Professor of Statistics at the Univeristy of North Florida. My research interests include the development of statistical methodology for high-dimensional data and building R packages to implement that work.

Recent work has focused on RNA-seq data (gene expression), developing methods in the areas of graphical modeling, prediction models, and survival analysis. Typical research questions include: How can gene expression be used to improve prediction of survival in cancer patients? Do gene regulatory networks differ in high-risk vs. low-risk patients, and what do those differences tell us about the underlying disease? Future work will dive into single-cell data, which provides a much finer resolution of cellular activity.

I find that simulations are an indispensable tool for modern research. Aside from allowing us to assess model performance, creating a simulation forces us to think deeply about the data generating process and the context of the problem at hand–this is a process that has often lead me to new insights.

I am always open to discussing collaboration/consulting opportunities. My role as a statistician in collaborative projects is to (1) help formulate good research questions, (2) design experiments that produce informative and high-quality data, (3) develop a plan for analyzing the data, and (4) visualize and communicate the findings.