About Me

I was born in Alabama but spent the majority of my childhood in Europe, returning to the United States to attend Samford University, where I earned a BS in mathematics in 2005. I completed a PhD in mathematics at Duke University in 2011, where I worked under Mauro Maggioni to develop a new multiscale method for estimating the intrinsic dimension of a data set.

From 2012-2017 I was an assistant professor of mathematics at Jacksonville University, a primarily undergraduate liberal arts institution where in addition to teaching and research I also served as a statistical consultant for JU faculty and students.

Wanting to focus the majority of my energy on research once again, I began a postdoc in the Department of Computational Mathematics, Science, and Engineering at Michigan State University in 2018. I worked with Yuying Xie, Matthew Hirn, and Qiang Sun on statistical and geometric analysis of high-dimensional data.

In January 2021 I began a tenure-track position in the Department of Mathematics at the University of Utah.

I have two children, a spouse, and a dog. I enjoy traveling, running, and being outside.

Awards

• NSF DMS 2309570 ($360,000): Moment Invariant Data Aggregation for Signal Processing and Distribution Learning (PI, 2023 - 2026)

• NSF DMS 1912906 ($150,000): Collaborative Research: Data‐driven Path Metrics for Machine Learning (PI, 2019 - 2022)

• AMS Simons Fellow ($4,000, 2018 - 2020)

• NSF S-STEM 1356544 ($625,673): Mathematics, Engineering, & Physics Scholars (co-PI, 2014 - 2017)

• Jacksonville University Faculty Research Grant (Spring 2015, Fall 2017)

• MAA Project Next Fellow (2012 - 2013)