This project was shared between myself and a partner as a cumulative project. In this project, we had decided to analyze the locations of large coal mines in West Virginia to see if proximity affected lung cancer rates on a county level. There was no direct correlation in this specific project, but it provided insight into the causes of lung cancer in such a coal industry-focused state regardless. More information, including our presentation and our technical write-up can be found beneath the layout.

This project was shared between a partner and myself as the first project in my Applied Projects in GIS course. The overall goal of the project was to utilize deep learning to create a model that could detect vehicles in a multi-spectral aerial image. Ideally, the project would have resulted in a final measure of what percentage of parking spots were filled at a given time, but software issues and time constraints prevented us from reaching that final goal. Nonetheless, the project ended up being exploratory in nature and gave some valuable insight into how deep learning works and how it can be applied to real-world issues. A presentation and write-up containing the beneficial and detrimental changes we made, along with our general workflow throughout the project can be found beneath the sample image.

This was my second group project for my Applied Projects in GIS course. The overall goal of this project is to work with a dataset containing concentrations of pollutants, namely PCBs and metals, to create multiple visualizations, including a map of the pollutants, a suggested excavation boundary to clean the site of pollutants, and a sub-area in which the pollutants had reached a particularly toxic threshold. In addition, we used techniques such as spatial interpolation to develop a map detailing the overall change in elevation, allowing us to calculate a total volume of removed material.

Over Summer 2025, I was brought on as a summer intern at the Wisconsin State Cartographers' Office to work on an update to their Bordner Coastal Survey Explorer. The update involved changing the program from CARTO to ArcGIS Online, and including the remaining map data that was undigitized as of the creation of the Coastal Survey Viewer. I was the primary developer of the updated app, but I recieved help from staffers from the SCO and a member of the Capital Area Regional Planning Commission. More details regarding the project and what the Bordner Survey was can be found under "Bordner Article", and the app itself can be found under "Bordner Survey Viewer".