Portrait image of Tom Beucler

Tom Beucler is an assistant professor of environmental data science at the University of Lausanne in Switzerland. He recently started a lab specifically dedicated to the intersection of atmospherics physics and machine learning, with the goal of improving our understanding of atmospheric dynamics and assisting weather and climate predictions. For that purpose, his research group combines physical theory, computational science, statistics, numerical simulations, and observational analyses. Before that, Tom studied the interaction of tropical storms, radiation, and atmospheric water as part of his PhD at MIT. As a postdoc and project scientist at Columbia and UC Irvine, he investigated how to best integrate physical knowledge into neural-network representations of convection for climate modeling, which will be the theme of today’s presentation. 

AMLD EPFL 2022 / Speakers

Michael Bronstein

Oxford / Twitter / IDSIA

Max Welling

Distinguished Scientist, Microsoft Research

Samy Bengio

Senior Director, AI and Machine Learning Research, Apple

Regina Barzilay

Professor of Electrical Engineering and Computer Science, MIT

Melanie Mitchell

Davis Professor, Santa Fe Institute

Thomas Wolf

Co-founder and Chief Science Officer, Hugging Face

AMLD / Global partners