I am a postdoctoral researcher at IMT Atlantique (Brest, France) and Lab-STICC, UMR CNRS 6285 (French CNRS laboratory). I am also a member of the Odyssey joint research team (with INRIA and Ifremer). My main research interest is how to build data-driven models for solving inverse problems and emulating large numerical models in geosciences.
News
2023. New article in Environmental Data Science. Ensemble-based 4DVarNet uncertainty quantification for the reconstruction of Sea Surface Height dynamics. Beauchamp M. et al.. More details here.
2023. New article in Computational Science - ICCS 2023. Learning Neural Optimal Interpolation Models and Solvers. Beauchamp M.et al.. More details here.
2023. New article in GMD. 4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry. Beauchamp M. et al.. More details here.
Timeline
Since 2023.Visiting researcher, Danisk Meteorological Institute, Copenhague
Since 2019.Postdoctoral researcher*, Institut Mines-Télécom Atlantique, MEE department and & LAB-STICC
TOMS team & Odyssey, Brest
Since 2019.Lecturer. Centre National des Arts et Métiers (CNAM), Paris
Since 2019. Self-employed as a scientific consultant.
2017-2018.Research Engineer in the Data Assimilation Group, Nansen Environmental and Remote Sensing Center (NERSC), Bergen (Norway)
2016-2018.PhD in Geosciences, Ecole des Mines de Paris, University PSL, Geosciences Center, Fontainebleau. Geostatistical contributions to improve the estimation in air quality. Development of geostatistical methods applied to air quality spatial estimation and spatio-temporal forecast. Responses to operational constraints and regulatory requirements for the exceedances of limit values.
2010-2017Research Engineer. Geostatistical and deterministic air quality modelling, INERIS (French National Institute for Industrial Risks and Environmental Safety), Chronic Risks Department, MOCA unit (Modelling
and Mapping), Verneuil-en-Halatte.
Research Topics
Data-driven data assimilation
Reconstruction (left) and SSH observation datasets (right)
Model emulation
Coarse resolution (left) and high resolution (right) of daily NO2 in France (2015)
Risk assessment
Probability of exceeding annual PM10 regulatory thresholds in France (2009)
