Leif Denby is Senior Research Scientist at the Danish Institute of Meteorology (DMI) and Visiting Research Fellow at University of Leeds. He holds a MSci in Physics, MPhil in Scientific Computing and PhD in Atmopsheric Physics from University of Cambridge. His research focusses on the dynamics and effects of convective clouds on climate, and has studied these through use of satellite observations, numerical weather prediction models, large-eddy simulations and self-supervised machine learning. Since joining DMI in 2023 he has formed the DMI SciML community, co-created the mllam and mlcast communities (focussed on limited-area data-driven forecasting and deep-learning based nowcasting). He lead a DMI team to create the first Graph Neural Network trained on DANRA 2km 30-year reanalysis using the Gefion supercomputer.

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