Jorge FERNANDEZ-DE-COSSIO-DIAZ
CNRS Junior Professor
Institut de Physique Théorique
Contact: jorge[dot]fdcd[at]icloud[dot]com
Current teaching activities:
Computational Science: Statistical learning of complex systems (CM, with Fabio Pietrucci & F. Calvanese)
I prepared a set of computational resources to complement the Statistical Physics course at École Polytechnique. See this link.
I will be giving a course on Statistical Physics of Learning at École Polytechnique for M1 students, starting in September 2026.
Past teaching activities:
Methods for data-driven modelling (TD, with S. Cocco & R. Monasson)
Covering topics in machine learning applied to physics. For master (M2) students of the ICFP curriculum offered by the Physics Department of ENS.
Machine Learning for Cognitive Sciences: Principles and Applications (TD, with S. Cocco)
Covering topics in machine learning applied to neuroscience. Part of the Cogmaster PSL master program (M2).
Advanced Data Analysis (CM, with Y. Lakretz) -- 2022-2023
Covering topics in machine learning. For master (M2) students of the IMaLiS curriculum (PSL Master in Life Sciences).
Formation des formateurs en sciences des données & IA (at PSL, Lectures) -- 2022-2023
Machine Learning Principles and Applications in Physics (CM & TD, ENS, Paris) -- 2022-2023
Correspondant for the DATA minor of the Master de Sciences Cognitives du Paris Sciences Lettres.