We conduct research aimed at improving our ability to apply rigorous, explainable, and quantifiable modeling to Earth system science challenges.

We develop open source, community software that helps ML and atmospheric scientists run and optimize machine learning models.

We host both undergraduate and graduate interns so that they can gain experience in machine learning applied to challenges in Earth system science.