Here's a brief summary of my CV. For more details, see the pdf.


  • 2022 - 2025
    PhD in Applied Mathematics and Machine Learning
    Inria THOTH and EDF R&D, Grenoble and Paris, France
    • Learning methods for mean-field models, application to electricity consumption control
  • 2021 - 2022
    Masters 2 MVA - Mathematics, Vision and Learning
    Ecole Normale Supérieure Paris Saclay, Paris, France
    • Relevant coursework - Reinforcement Learning, Sequential Learning, Convex Optimisation, Kernel Methods, Optimal Transport, Random Matrices, Graphs in machine learning
  • 2018 - 2021
    M.Sc. and B.S. in Applied mathematics (French engineering school)
    Ecole Polyetechnique, Palaiseau, France
    • Specialisation in applied mathematics
    • X2018 Ingénieur Polytechnicien
  • 2016 - 2018
    B.S. in Mathematics and Physics
    University of Campinas, Campinas, Brazil

Work experience

  • 04 - 10/2022
    Research and development intern
    EDF R&D, OSIRIS, Palaiseau, France
    • Sequential learning methods for mean-field models, application to power consumption control
  • 04 - 08/2021
    Research intern
    Inria DYOGENE and Polytechnique Montréal, Paris and Montréal, France and Canada
    • Stochastic modelisation and data analysis of the incentive policy of a car-sharing system by Markov processes and mean-field analysis.
    • Research internship prize from Ecole Polytechnique
  • 06 - 08/2020
    Research and development intern
    Pathcontrol, Paris, France
    • Developing and implementing algorithms for well drilling. Also implemented a graphical interface joined into the company software



English Fluent
French Fluent
Portuguese Native speaker