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.

My work has recently taken a shift more towards the applied with my position at Los Alamos National Lab. I have taken an interest in heteroskedastic sensitivity analyses for large-scale gas transport simulations through underground discrete fracture networks. I have also begun working with a team of disease forcasting researchers hoping to better prepare for the next pandemic.

Recent News

17 Apr 2024	I gave an invited seminar at Los Alamos National Laboratory on a new Bayesian Tensor Regression project my collaborators and I have begun recently.
13 Mar 2024	I recently made my dissertation publically available. Check it out here.
16 Dec 2023	I am giving a talk at UQ24 in Trieste, Italy at the end of February. If you are going to be there and want to chat, shoot me a message!
16 Dec 2023	My first two LANL papers are out! Check my Publications page for more details.
12 Jun 2023	I have sent off my work with the Mayo Clinic for publication! Check out the paper here and the R package here.

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Brief Bio

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

Erdös-Bacon Number: 5