In 1992, with twenty-five years of professional experience in the natural resources industry, he initially worked on implementing advanced statistical tools in operational software. He spent two years in London at an Oil & Gas software company (SSI) calibrating production historical data, followed by two years in Brest at the French Navy's Hydrographic Service working with hydrographic data from multibeam echosounders. In 1998, he joined TOTAL in Paris, where for ten years he applied geostatistical modeling to geology and reservoir engineering for the assessment of resources and reserves in oil and gas fields worldwide. In 2008, he joined AREVA as a senior geostatistician in charge of assessing uranium and gold resources for the Mining business unit. Since 2018, he has been a lecturer and researcher at the Statistics and Images Center (STIM) at the École des Mines.
His research focuses on advanced applications of geostatistics to the assessment of natural resources and the quantification of uncertainties. He has contributed to the development of geostatistical simulations and non-linear techniques that have since become common practice (MCMC methods applied to the modeling of geological facies; discrete approach for deposits with heavy-tailed grade distribution). He is currently working on the integration of physical or phenomenological models into geostatistical models, with the constant concern of making the most advanced techniques accessible to practitioners.