Ph.D Student in Natural Language Processing

Université Sorbonne Paris Nord


I am a PhD student at LIPN supervised by Joseph Le Roux and co-supervised by Djamé Seddah. My grant is part of the PARSITI project. I am mostly interested in the applications of Variational Autoencoders (VAEs) on Natural Language processing. As such, I work on semi-supervised learning with deep latent variable models, disentanglement, and denoising. I am also currently a lab supervisor for the course Machine Learning for NLP at ENSAE-IPP.

Before starting my Ph.D journey, I was working closely with Leo Hemamou to try and help the Human Ressources industry with fair, IO Psychology based machine learning models.


  • Machine Learning
  • Computational Linguistics
  • Latent Variable Models


  • Engineering Diploma (Masters degree), 2017

    Ecole Nationale Superieure des Techniques Avancées

  • Engineering Diploma (Masters degree), 2017

    Ecole Nationale d'Ingénieurs de Tunis

  • Masters in Machine Learning, Information, and Content, 2017

    Université Paris-Saclay