Past and current projects
Howdy! Here you will find some projects that are either complete or are in progress. Each has its own associated link (most of its GitHub at the moment).
01
Machine Learning and D&D
In this project, a group of friends and I combed through a data set of 25,000 D&D combat sessions to see if we could predict combat success. We were able to build a model that achieved a relatively high accuracy. But more work definitely needs to be done! I plan to revisit this data set in the future.
02
Depression Statistics Dashboard
In this project, two students and I brought together a dashboard that explores depression as an adverse health outcome. Our primary objective was to make an interactive tool that uses health data and machine learning algorithms to predict depression rates in the U.S. I have plans to actually deploy the dashboard soon! Meanwhile, you can explore the code on GitHub by clicking on the photo.
03
Physiological and Computational Insights into Conflict Tasks
This project is one of the main thrusts of my PhD work. Conflict tasks have a rich history in cognitive psychology. However, there is still not a widely accepted model on how they work. Our approach leverages a new behavioral method that allows us to examine the entire timeline of conflict processing as opposed to a single snapshot like traditional reaction time approaches use. From this, we have also developed a computational model that elucidates what might be going "under the hood," cognitively. Additionally, we have been recently incorporating EMG methods to see if we can get a physiological window into our model's predictions. Linked in the photo is a slide deck from a recent talk I gave.
04
Chronometry of Distraction
In this project, I coded and executed a series of eye-tracking experiments to probe how visual distraction unfolds as a component of time. There is a long-standing debate in the field of psychology on whether distraction is governed by physical salience. In these experiments, we show almost counter-intuitively that physical salience can actually lead to less distraction as opposed to more. The photo links to a poster I presented at Psychonomics 2024, The manuscript for the experiments is in preparation.
