I’m a recent graduate of Macalester College where I studied statistics with minors in geography and creative writing. Right now, I work at the Metropolitan Council as an Associate Data Scientist. My work involves using location-based services to estimate park and trail visitation across the state. Previously, I interned at Metro Transit where I fit hierarchical spatial Bayesian models of Twin Cities bus ridership.
Outside of work, I love applying data science skills to new projects, like the National Gallery of Art’s first datathon. My team explored gender diversity in the Gallery’s collection and presented to Gallery curators and staff. When I’m not thinking about statistics, I love to write fiction, read, and get to know Minnesota’s parks and trails better!
BA in Applied Math & Statistics, 2020
Bayesian Statistics, Mathematical Statistics, Statistical Machine Learning, Correlated Data, Computational Linear Algebra, Probability, Urban GIS, 2D Design, Cultural Atlas Production