Research Interests

I develop novel fiducial approaches to classical inferential problems and illustrate the usefulness in context to current methods. I am broadly interested in the intersection between classical Geometry and modern Statistics, especially from the fiducial perspective. My research often also involves Gaussian Graphical Models (GGMs); under this wide umbrella, I am currently engaged in projects that are both purely theoretical and applied. My applied work on GGMs is with the Mayo Clinic and involves detecting drift or abrupt changes to data.


Due to funding from the Mayo Clinic, I will not be teaching for the remainder of my PhD program. I report this news with great enthusiasm, yet still with some melancholy. Teaching is a passion of mine and I know that it will be in my future.

Recent News

19 Apr 2022

This is going to be a big conference year for me! If you are going to be at BFF, IEEE ICHI, or JSM 2022, please reach out! I would love to meet up and a chat.

05 Nov 2021

I was featured on the UNC Research Computing website. Check it out here!

31 Aug 2021

The Mayo Clinic has decided to extend their funding for the remainder of my PhD program (through May 2023). This exciting opportunity means that I will get to do forcus entirely on my research for the next two years!

15 Jul 2021

I received the SAMSI RA Fellowship for the Fall 2021 semester.

12 May 2021

I started a virtual internship within the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery at Mayo Clinic, working with Curt Storlie.

View All

Brief Bio

I'm a born-and-raised Pittsburgh-er who traveled down south to pursue my dream of being a Statistics professor. When I'm not thinking about math and coding, I'm swimming, dancing, and singing loudly in the shower.

Erdös-Bacon Number: 5