Tom Beucler
Scholar

Tom Beucler

Google Scholar ID: OODC5e8AAAAJ
Assistant Professor, University of Lausanne
Atmospheric PhysicsClimate InformaticsScientific Machine LearningTropical Meteorology
Citations & Impact
All-time
Citations
1,627
 
H-index
20
 
i10-index
29
 
Publications
20
 
Co-authors
114
list available
Resume (English only)
Academic Achievements
  • Co-founded the Expertise Center for Climate Extremes (ECCE) and is part of the Institute of Earth Surface Dynamics (IDYST) within the Faculty of Geosciences and Environment (FGSE) at the University of Lausanne (UNIL).
Research Experience
  • Research areas include physics-guided machine learning, data-driven scientific discovery, AI for tropical meteorology, downscaling (super-resolution/bias-correction), machine learning parameterizations, and studies on radiation and convection.
Background
  • Research interests lie at the intersection of atmospheric physics and artificial intelligence, dedicated to advancing our understanding of the atmosphere and driving the development of next-generation weather and climate models. This is achieved through creatively combining observational data, physical theory, computational science, and statistics.
Miscellany
  • The lab welcomes collaborations across the broad field of environmental data science.