Hello there!

I am an associate professor at CentraleSupélec (Rennes, France) in the CIDRE research team since October 2020. I did my PhD in artificial intelligence at IRIT (Toulouse, France) under the supervision of Hélène Fargier and Jérôme Mengin.


I have various areas of interest. Most notably:

  • applying machine learning techniques to security problems, such as malware analysis, anomaly detection, and data generation
  • the security of formal languages, and more specifically, on injection-based attacks
  • learning and inference in discrete graphical models, notably Bayesian network and LP-trees


I am a member of various collaborations:

  • “Superviz” PEPR project, a French national program on supervision
  • “DefMal” PEPR project, a French national program on malware analysis

Besides, I regularly work with researchers from DGA (Bruz), Telecom SudParis (Évry), Telecom Paris (Paris), EURECOM (Sophia Antipolis), IRIT (Toulouse), LAAS-CNRS (Toulouse), NICT (Tokyo, Japan) and CISPA (Saarbrücken, Germany)

Doctoral advisor

I am currently supervising three PhD students:

  • Maxime Lanvin on unsupervised intrusion detection in networks
  • Vincent Raulin on dynamic malware analysis
  • Adrien Schoen on network packets generation for IDS evaluation

I was also involved in various PhD:


I am teaching various topics at CentraleSupélec, notably:

  • Network and security (L3)
  • Intrusion detection system (M2)
  • System programming (M1 and M2)

PC member and reviewer

Security conferences

  • DSN 2022
  • THCon 2022, 2023
  • EICC 2021
  • Doctoral Forum of DSN 2020
  • ISSRE 2020

Artificial intelligence conferences

  • AAAI 2021, 2022
  • IJCAI 2020
  • RJCIA 2019, 2020


  • Transactions on Computers
  • International Journal of Information Security
  • Computers & Security


Bureau 506
CentraleSupélec – Campus de Rennes
Avenue de la Boulaie
35510 Cesson-Sévigné – France