I'm a data scientist at TransLōc, where I build data products to predict and understand mobility patterns. I work most often with transit agencies to plan and assess microtransit projects.
I love analyzing spatio-temporal data and using data to help people learn about their world. I've worked on a range of topics throughout my career. Large projects include building data infrastructure for an international stream monitoring network at Duke University, analyzing global agricultural greenhouse gas emissions at Colorado State University, and teaching undergraduate courses at both Duke University and Beloit College.
I was a fellow at The Data Incubator, where I worked on classification models with remote sensing data, and I received a PhD in Ecology from Duke University, where I used Bayesian state-space models to understand tree water use and predict forest responses to drought. My academic work is published in multiple peer-reviewed journals.
I live in Durham, NC. In my personal time I enjoy restoring my old house, making maps, and doing long-distance running, climbing, and yoga with my partner.