Short bio
Stéphane Mallat is an applied mathematician, Professor at the Collège de France. He is a member of the French Academy of sciences, and a foreign member of the US National Academy of Engineering. He was a Professor at the Courant Institute of NYU, at Ecole Polytechnique and Ecole Normale Superieure in Paris. He also was a founder and CEO of a semiconductor start-up company.
Stéphane Mallat’s research is in machine learning and harmonic analysis. He developed the multiresolution wavelet theory and algorithms at the origin of the compression standard JPEG-2000, and sparse signal representations in dictionaries. His current work is devoted to mathematical models of deep neural networks, for data analysis and physics.