I am a permanent researcher ("chargé de recherche") in ACTA team of UR Opaale (INRAE).

To better constraint and explain data-based algorithms (e.g., data assimilation, Bayesian inference, machine learning), I tie priors to physics. Although statistical physics propose stochastic processes to be used as priors, many real systems hardly accommodate with some usual statistical simplifications (e.g., stationarity, delta-correlation). Therefore, my framework stands halfway between analytic stochastic descriptions and heavy numerical simulations. I rely on turbulence multiscale decomposition and stochastic transport. This framework is applied to wave-turbulence interactions and model errors quantification for data assimilation in geophysical fluid mechanics and reduced order models. I have also studied mixing analysis from both deterministic and stochastic points of view.

I am applying these methodologies to antifreeze tower, wind turbines, sailing, airborne systems, swells and ocean modeling, and pollutant leak detection, using e.g. data assimilation.