Dorian Abbot Research Group

The University of Chicago

What do mathematical and computational models reveal about climate, paleoclimate, and planetary habitability? Research uses mathematical and computational models to understand fundamental problems in Earth and planetary science, with current focus areas including rare event sampling and machine learning in weather and climate. The group works on climate dynamics, glaciology, geophysical fluid dynamics, and planetary sciences using theory, high-performance numerical simulation, and data analysis. Researchers collaborate within the department and with external partners to study extreme events and planetary habitability across theoretical and computational approaches. Ongoing projects emphasize rare event sampling methods and AI-boosted techniques to characterize extreme weather.