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pic I am currently doing a postdoc in Statistics and Image Processing sponsored by CNES and INRIA with the AYIN team of INRIA Sophia-Antipolis Méditerranée (France), under the supervision of Josiane Zerubia. Before that, I did a 6-month postdoc in Statistics at the University of Tokyo (Japan), under the supervision of Yuzo Maruyama. I obtained my PhD at Université de Rouen (France), under the supervision of Stéphane Canu and Dominique Fourdrinier.

My main interests are parameter estimation, density estimation, model selection, and object detection.

During my PhD, I worked on procedures of model selection under a wide distributional assumption, the family of spherically symmetric distributions, allowing us to handle some kind of dependence between the observations. Our procedure is based on loss estimation, where a loss function is defined to measure the distance between the model parameter (here the coefficient of regression) and its estimator.

My postdoc in Japan concerned the problem of estimating the predictive density of a Gaussian n-dimensional random vector from the Bayesian point of view.

Currently, I am working on estimating the parameters in a marked point process model applied to object detection for harbor monitoring.

You can find an overview of my research in the Research section.