Research

Current Ph.D. students

• Sobihan Surendran (Sorbonne Universite, Dec. 2023 - ...)
  Co-supervised with Antoinde Godichon-Baggioni (Sorbonne Universite) and Adeline Fermanian (Califrais)
  Stochastic optimization and Monte Carlo methods with application to product flows
• Alexandre Chaussard (Sorbonne Universite, Nov. 2023 - ...)
  Co-supervised with Anna Bonnet (Sorbonne Universite) and Harry Sokol (APHP)
  Latent data models and variational methods to analyze gut microbiota

Past Ph.D. students

• Etienne David (Telecom SudParis & Heuritech, Feb. 2021 -Jan. 2024)
  Co-supervised with Jean Bellot (Heuritech)
  Hybrid models and weak signals to forecast fashion trends
• Mathis Chagneux (Telecom Paris, Nov. 2020 - Nov. 2023)
  Co-supervised with Pierre gloaguen (Agro ParisTech) and Charles Ollion (Ecole Polytechnique)
  Computer vision and statistical models for the detection and tracking of plastic wastes
• Yazid Janati (Telecom SudParis, Oct. 2020 - Sept. 2023)
  Co-supervised with Yohan Petetin (Telecom SudParis)
  On the combination of deep learning models with Monte Carlo methods
• Max Cohen (Telecom SudParis & Oze Energies, Feb. 2020 - March 2023)
  Co-supervised with Marius Preda (Telecom SudParis)
  Metamodels and Bayesian deep learning for partially observed dynamical systems
• Alice Martin (Telecom SudParis & Ecole Polytechnique, Apr. 2019 - June 2022)
  Co-supervised with Olivier Pietquin (Google Brain)
  Deep reinforcement learning for natural language processing. Application to goal-oriented visual question generation