Tom Beucler recently started a lab specifically dedicated to the intersection of atmospheric physics and machine learning, with the goal of improving our understanding of atmospheric dynamics and assisting with weather and climate predictions. For that purpose, his research group combines physical theory, computational science, statistics, numerical simulations, and observational analyses.

Beucler previously studied the interaction of tropical storms, radiation, and atmospheric water as part of his PhD at MIT. As a postdoctoral researcher and project scientist at Columbia and UC Irvine, he investigated how to best integrate physical knowledge into neural-network representations of convection for climate modelling.