Teaching

🎓 Co-responsibility

I am co-responsible for the Master of Artificial Intelligence (IA) jointly offered by Télécom Paris and ENSTA Paris.

📘 Courses

• Introduction to Machine Learning (MI201)
  Introductory course on supervised and unsupervised learning for ENSTA Paris students.
• CSC_5IA21 – Project IA
  Project-based course focusing on the implementation of AI algorithms and applied deep learning.
• CSC_5IA23 – Advanced Computer Vision and Deep Learning
  Taught to ENSTA and Master DATA-IA students; explores deep architectures, vision transformers, and diffusion models.
• BGDIA708 – Ethical and Trustworthy Machine Learning
  Covers ethics, fairness, and uncertainty in modern AI systems. (External link to be added)

📚 Other Teaching Activities at Master MVA

• Fondements Théoriques de l’Apprentissage Profond (MVA Program)
  Theoretical and mathematical foundations of deep learning.
• Multimodal Explainable AI (XAI) (MVA Program)
  Course exploring interpretability in multimodal models.