Eliott Lumet
My research focuses on uncertainty quantification and data-driven modeling for the atmospheric sciences, including applications in pollutant dispersion, numerical weather prediction and the study of urban environments. I am currently a postdoc at CNRM in Toulouse, France, working on the development of a new generation of weather prediction systems, based on the hybridization of traditional physical models and state-of-the-art machine learning methods.
Interests
- Uncertainty quantification
- Data assimilation
- Model reduction
- Machine learning
- Atmospheric pollutant dispersion