PhD Student
Hybrid Deep Learning and Physics models


Hello, I'm a PhD student on Hybrid Deep Learning and Physical approaches in the MLIA team on the ISIR under the supervision of Patrick Gallinari and Nicolas Thome. My goal is to investigate the cooperation of ML and physics models to improve the state of the art in the modeling of complex physical systems described by PDEs.


I am broadly interested in developing novel hybrid models combining deep learning and physics. Anything that relates to physic-based machine learning, foundation models, operator learning for PDEs, or PINNs (and many more!) will catch my eye!

If you are interested in collaborating with me, please email me at regueiroespino[at]isir.upmc.fr

News


  • October 2024: I have coordinated the disseminative event on neural networks and neuroscience "Redes Neuronales: del reto neurocientífico a la aplicación de la Inteligencia Artificial" organized by SIEF, the Colegio de España and the cultural section of the Spanish Embassy in Paris.
  • October 2024: I attended a fall school on generative AI "Paris Generative AI Autumn School".
  • September 2024: I gave a talk entitled "Physics-Informed Deep Learning: accelerating and enhancing scientific discovery" in the Colegio de España en París.
  • April 2024: I organized an International Seminar of AI.
  • January 2024: I taught my first course as a Teacher Assistant at Sorbonne Université.
  • November 2023: I started my PhD on Hybrid Deep Learning and Physical approaches in the ISIR at Sorbonne Université.
  • October 2023: I finished the engineering diploma in the École Nationale Supérieure de l'Informatique pour l'Industrie et l'Entreprise (ENSIIE).
  • October 2023: I finished the Mathématiques, Vision, Apprentissage (MVA) master at École Normale Superieure de Paris-Saclay.
  • February 2023: The supervisor of my internship in the ENSIIE, Massinissa Merabet, presented the heuristic that I developed in a conference communication in ROADEF 2023.
  • October 2023: I started my last master's year!
  • September 2022: I finised my internship on resolution of NP-hard graph spanning problems using kernelization, linear programming and machine learning in the ENSIIE.
  • September 2022: I started my first master's year at ENSIIE.
  • July 2021: I finished the B. Sc. in Maths at Universidade de Santiago de Compostela (USC).
  • Scientific productions


    Academic Services


  • Organization of the International Seminar Demystifying AI (Spring 2024).
  • Teacher Assistant for LU1IN002 Elements de Programmation 2: an introduction to C (Spring 2024).
  • Teacher Assistant for LU1IN001 Elements de Programmation 1 (Autumn 2024).
  • Chaired a session in the colloquium When Causal Inference meets Statistical Analysis (Summer 2023).