pyGMCALab New !
Research activities :
Signal and image processing with a high interest in sparsity-based methods for solving inverse problems, compressed sensing and its application in astronomy and biomedical imaging, blind source separation and matrix factorization methods and algorithms, sparse representations, optimization and algorithmic tools for inverse problems and machine learning.
My research also focuses on the developments of methods and algorithms for analyzing the microwave sky from the Planck data, radio-interferometric measurements and galaxy surveys for weak-lensing studies.
Projects in which I am (or have been) involved :
– PI of the ERC-funded project LENA (2016 – 2021)
– Member of the Physis project (2015-2017)
– PI of the ANR-funded project MultID (2012 – 2014)