Lego was my favorite toy growing up. Before I learned how to stack spatial data layers or build out a machine learning pipeline, I was building with my lego bricks. The same curiosity, creativity, and determination I had then now fuels my work in Data Science and GIS. Similar to Lego, I focus on combining various pieces (complex data) into something greater: exploring data, analyzing patterns, and producing results that tell a story.

I specialize in building out machine learning pipelines and working with remote sensing data to better inform conservation-related decisions. I am currently working with the Wildlife Conservation Society out of the Arctic Beringia region to monitor coastal lagoon ecology and temporal trends. Starting in January 2026, I will be working with Professor Ye He at William & Mary and the Mote Marine Lab in Florida on AI-Powered Identification of Manatees for Conservation and Health Monitoring.