Upcoming Events

Machine Learning and Climate Day

This day, co-organized by EDF R&D and the French network of ENBIS (frENBIS), is part of our efforts to promote statistics and machine learning methods within businesses and the industry.

We offer you a morning of training on additive linear models led by Matteo Fasiolo, Senior Lecturer at the School of Mathematics - Statistical Science at the University of Bristol and author of the packages qGAM and mgcViz. The theoretical foundations of these methods will be discussed, along with examples of applications in R (notebooks).

The afternoon will be dedicated to presentations from the industry and academics about applications of machine learning for climate modeling.

Location: EDF Lab Saclay

Date: October 19 2023

The event is free, but registration is mandatory. Please fill out the form at the bottom of the page.


09h00 - 09h30 Welcome
09h30 - 11h00 GAM, lecture 1
11h00 - 11h15 Pause
11h15 - 12h30 GAM, lecture 2

Pause déjeuner

Après midi
13h45 - 14h25 Near real time global power production data and implications of climate extrêmes Philippe Ciais, Directeur de recherche at Laboratoire des Sciences du Climat et de l’Environnement (LSCE)
14h25 - 15h05 Leveraging AI for weather prediction at Météo-France : a review of ongoing activities Laure Reynaud, Researcher at CNRM (UMR 3589, Météo-France/CNRS), team leader of ‘Prévisibilité’, Groupe de Modélisation pour l’Assimilation et la Prévision
15h05 - 15h45 How to aggregate climate data to predict crop yield: an application to soybean, Mathilde Chen, Postdoctoral fellow, Mathématiques et Informatiques Appliquées (MIA) Paris-Saclay, University Paris-Saclay, campus AgroParisTech INRAE)
15h45 Coffee & Networking

Registration Form