Atmospheric Physics & Machine Learning

Our group works at the intersection of atmospherics physics and machine learning to improve our understanding of atmospheric dynamics and assist weather & climate predictions. For that purpose, we combine physical theory, computational science, statistics, numerical simulations, and observational analyses. We are committed to interdisciplinary research and welcome all collaborations in the broad field of environmental data science.

Details coming soon: Here’s the link to Tom Beucler’s research page in the meantime.