El Ahmad

Tamim El Ahmad is in Year 2 of the Mathematics, Vision and Learning (MVA) Master’s program at ENS Paris-Saclay, a Master’s in mathematics, specialized in machine learning and computer vision.  He was previously in Year 1 of the Applied Mathematics Master’s program at Paris-Diderot and in the Master’s Degree in Engineering at Mines Saint-Etienne. He integrated the team on the 27/04/2020 for the following internship: “The best of both worlds: deep kernel  learning”, supervised by Florence d’Alché-Buc, professor at Télécom Paris and holder of the DSAIDIS Chair. His focus was on the development of hybrid architectures combining neural networks and kernel methods in order to solve prediction problems relating to structured data (especially link prediction, sequence and graph prediction). Since the end of his internship the 30/09/2020, he is doing a thesis, still under the supervision of Florence d’Alché-Buc.

Key words: deep learning, kernel methods, structured data prediction, hybrid structure