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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

Education