My academic background is based on a deep knowledge in Applied Mathematics and Numerical Modelling, Computer Programming, and Computational Physics. After my graduation as an Ingénieur at the Institut des Sciences de l’Ingénieur de Toulon-Var, I oriented my work experience towards the design and the implementation of industrial numerical algorithms dedicated to Environmental Engineering and Geophysics.I have been working on atmospheric processes since the year 2000. Thanks to my initial academic background, I was able to develop an expertise both in atmospheric modelling and remote sensing. I first joined the European Commission’s Joint Research Centre as a scientific officer within the Climate Change Unit where I worked for almost five years on air quality modelling. Since September 2004, I have been working at EUMETSAT, as a consultant in numerical algorithm development. I am currently in charge of developing and validating an aerosol product using the MSG/SEVIRI observations. This project benefits from the expertise I acquired as an atmospheric chemistry modeller, as I could make the link between the satellite products and their use by the modellers community. In parallel, I have initiated many interactions with potential users and with other scientific groups working on the retrieval of aerosol characteristics.Looking at the future, this project is foreseen to be part of the core developments for the Meteosat Third Generation Flexible Combined Imager Mission.Through my work experience I have acquired a solid experience in various fields of Earth Sciences and in particular in Atmospheric Sciences, together with a strong expertise in algorithm development in operational and industrial environments. This multifaceted expertise allowed me to bring people from different communities to work together and to create synergies. At last, my experience abroad, and in international environments enabled me to develop excellent communication and inter-personal skills.Specialties: Numerical code development, applied to environmental modelling and remote sensing. Mathematical inversion and optimization methods, applied to geosciences. Resolution of partial differential equations using discretization methods (finite elements, finite volumes, finite differences).UNIX/Linux environments, C, F90, IDL, Perl, parallel computing.