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General Information

Full Name Maria Cherifa
Languages English, French, Arabic
Contact cherifamaria 'at' gmail 'dot' com

Education

  • 2022 - 2025
    PhD
    CREST (ENSAE) / Criteo / Paris-Cité University, MAP5 Lab
    • Online matching on bipartite graphs.
    • Online learning.
    • Bandit algorithms.
    • Under the supervision of
      • Vianney Perchet (Professor at ENSAE)
      • Clément Calauzènes (Engineering Manager at Criteo)
  • 2020 - 2021
    Master’s Degree (M2) – Mathematics, Vision and Learning (MVA)
    ENS Paris-Saclay
    • Deep Learning (Vision, NLP, Graphs)
    • Optimal Transport
    • Optimization
    • Statistics
  • 2019 - 2020
    Master’s Degree (M1)
    Paris Cité University
    • Statistics and Probability
    • Information Theory
    • Time Series
    • PDE / ODE
  • 2018 - 2019
    Bachelor’s Degree – Electrical Engineering and Computer Science
    Paris-Saclay University
  • 2017 - 2018
    Bachelor’s Degree – Applied and Pure Mathematics
    Paris-Saclay University

Experience

  • 2025 - Present
    Research and Teaching Assistant
    Paris Saclay University
    • Research – Online matching on bipartite graphs, online learning.
    • Teaching Assistant – Introduction to Statistics (L2)
    • Teaching Assistant – Mathematics and Calculus (L1)
    • Teaching Assistant – Probability (L3)
    • Teaching Assistant – Linear Algebra (L2)
    • Teaching Assistant – Ordinary Differential Equations (ODEs), first-year engineering students
  • 2024 - 2025
    Research and Teaching Assistant
    Paris Cité University
    • Research – Online matching on bipartite graphs, online learning.
    • Teaching – Probability, Statistics, Linear Algebra, Calculus.
  • 2021
    Research Internship
    Criteo AI Lab
    • Theoretical analysis of meta pseudo-labels
    • Under the supervision of
      • Jérémie Mary (Researcher at Criteo)
  • 2020
    Research Internship
    Centre Borelli – ENS Paris-Saclay
    • Study of SEIR models to control the propagation of COVID-19
    • Under the supervision of
      • Nicolas Vayatis (Professor at ENS Paris-Saclay)
  • 2019
    Research Internship
    Signals and Systems Lab L2S – CentraleSupélec
    • Designing an algorithm for inverse text recognition
    • Under the supervision of
      • Samson Lasaulce (Chief Research Scientist at Khalifa University)
  • 2019
    Research Internship
    Signals and Systems Lab L2S – CentraleSupélec
    • Alzheimer’s disease prediction from patient records
    • Under the supervision of
      • Arthur Tenenhaus (Professor at CentraleSupélec)

Other Interests

  • Politics and History
  • Volunteering and humanitarian initiatives
  • Travel
  • Tennis