I’m a Research Fellow in the Center for Computational Mathematics of the Flatiron Institute in New York, and member of the Polymathic AI collaboration.
I work in AI&Science, focusing on building AI models — such as transformers — for predicting spatio-temporal systems in Physics. I’m also interested in the generation and prediction of stochastic time processes, commonly encountered in Finance.
In 2023, I completed my PhD from École Normale Supérieure on compact models of multi-scale processes. I’m deeply grateful to my PhD advisor, Prof. Stéphane Mallat for this incredible journey, as well as Prof. Jean-Philippe Bouchaud for his exceptional guidance.
From 2019 to 2023, I had the privilege of being a member of the EconophysiX chair hosted by CFM and Polytechnique. In 2022, I was delighted to be a visiting PhD student at Rice University in Prof. Maarten de Hoop’s team.
Email: rmorel [at] flatironinstitute [dot] org
PhD in Mathematics, 2020-2023
École Normale Supérieure
MS in Probability and Finance, 2018-2019
Sorbonne Université
BSc in Mathematics, 2015-2018
École Normale Supérieure of Rennes
May 2025. Our paper DISCO got accepted at ICML2025!
May 2025. I presented DISCO at the Foundation Model for Science conference.
Apr 2025. I was in Palo Alto for the Foundation Models of the Physical Universe symposium organized by Foresite Labs.
December 2024. I gave a talk in the M2LInES collaboration. Thank you Chris Pedersen and Laure Zanna for the invitation!