About me
Bio
I am an associate professor at the LISTIC laboratory in Université Savoie Mont Blanc. My research interests span statistical signal and image processing and computational imaging with applications in radio-interferometry hyperspectral imaging and sensor array processing. More precisely, I develop methodological contributions in various topics such as : inverse problems, unrolled algorithms, plug-n-play neural network, robust statistical signal processing and structured covariance matrix estimation.
I’ve conducted postdoctoral research in the Image group at the MAP 5 Laboratory in Université Paris Cité. Collaborating with Andrés Almansa, Rémy Abergel, and Lionel Moisan on hyperspectral image reconstruction. This work was part of the ANR project Fu-MultiSpoc, which aimed to develop a high-resolution hyperspectral imager based on Fabry Perot interferometers. The focus included hyperspectral image denoising, image restoration, inverse problems, and plug-n-play neural network.
During my Ph.D., supervised by Pascal Larzabal, Mohammed Nabil EL Korso, and Arnaud Breloy at the SATIE laboratory at Ecole Normale Supérieure Paris-Saclay, I contributed to the field of radio-interferometry. My research focused on signal processing methodologies for the calibration and imaging of cutting-edge radio interferometers. This involved the development of robust statistical models using compound Gaussian distributions to handle radiofrequency interferences, and addressing optimization challenges in maximum likelihood estimation with algorithms such as the Expectation-Maximization.
Before my Ph.D., I worked as a research engineer at Phasics, contributing to the conception and development of innovative algorithms tailored for the analysis of wavefront sensors.