Projects

Earthquake Recurrence Modeling - ARCS Poster
Earthquake Recurrence Modeling - ARCS Poster

Recurrent event modeling is like the estranged point-process cousin who lives on the outskirts of survival analysis. Maybe that's an odd analogy, but it rings true in my experience. This poster was presented at the 2022 ARCS Symposium meeting, an event that honors ARCS Foundation donors and highlights the work of ARCS scholars.

Apr 1, 2022

Time-Series Analysis of Soccer Search Trends
Time-Series Analysis of Soccer Search Trends

Time-series was one of the last classes I took in my PhD. I'm not going to say it was like therapy, but it sure felt nice to end on a high note.

Mar 1, 2022

Renewal Processes - Advancement to Candidacy
Renewal Processes - Advancement to Candidacy

Have you ever finished giving a 45 minute presentation and thought, "I wish I had more time"? I'm not sure whether that's a good thing or a bad thing, but at least my family said nice things.

Aug 1, 2021

Relating Preadolescent Growth to Maternal Height
Relating Preadolescent Growth to Maternal Height

Using height to demonstrate correlation is, well, super cliche and I'm definitely guilty of using it when teaching intro stats students. So imagine the irony I felt when I realized that my two-day take-home PhD qualifying exam was on modeling heights of all things.

Jul 1, 2020

Bayesian Nonparametric Curve Clustering
Bayesian Nonparametric Curve Clustering

Functional data is really interesting, to me anyway. So similar to vector data, yet it exists in a very different space. I completed this project for a Bayesian nonparametrics course during my PhD.

Jun 1, 2020

Functional Analysis of Insurance Loss Reserves
Functional Analysis of Insurance Loss Reserves

Risk management is a fascinating field. The models are interesting and, more importantly, actuaries are some of my favorite people. They have a certain nerdy panache that I find both endearing and relatable.

Dec 1, 2018

Bayesian Ensembling: Letter Classification
Bayesian Ensembling: Letter Classification

Machine learning algorithms sometimes feel a bit like using a fork-lift to hang a picture. Sure it can work, but you have to be careful, like, really careful. This project was my first substantive foray into machine learning models for image data.

Nov 1, 2018

Spatial Forecasting of Ozone Levels
Spatial Forecasting of Ozone Levels

Spatial analysis makes some lovely graphs, doesn't it? The problem is that the datasets can be huge, which really forces you to ackowledge the practical side of model building. This project was a two-day take-home exam for an applied modeling course during my master's.

Oct 1, 2018

LASSO Tutorial: Gene Expression
LASSO Tutorial: Gene Expression

I've been studying statistics for the better part of 10 years now and I still can't tell you what LASSO stands for. Least absolute shrinkage and selection operator? Seems like a stretch.

Feb 1, 2018