My primary research interest is in mathematical biology. I am especially drawn to projects that use techniques from applied mathematics to address questions in ecology. Previously, I explored how mathematical modeling can describe population interactions between plants exhibiting compensatory growth and their herbivores [1]. I am also open to research opportunities beyond mathematical biology, and I am interested in forming collaborations with mathematicians and scholars who share a curiosity for the diverse applications of mathematical modeling.

I am deeply committed to facilitating and supervising undergraduate research. At Haverford College, I have advised five math majors on their senior thesis projects dealing with applications of mathematical modeling in biology, economics, finance sports training, and data science. Previously, at the University of Nebraska-Lincoln (UNL), I mentored undergraduate group research projects on disease modeling in a course titled Math in the City. I also worked with in-service teachers pursuing their Master of Arts for Teaching (MAT) degree through UNL’s Math Department MAT Program, serving as a thesis reader.

I have developed a growing interest in data science. From May to June 2025, I participated in the Erdős Institute’s Data Science Bootcamp and I earned a certification for completing a data science project. This project focused on sports analytics, specifically investigating key performance indicators associated with winning one-score games in college football. That is, games in which the final point differential is eight or less. Click here to view the GitHub repository containing the data and Python scripts for this project. I am enthusiastic about continuing to collaborate on, as well as mentor, additional data science projects, especially those involving mathematical biology.