Education

• PhD (2023-expected 2026): Télécom Paris, Palaiseau, France.
• Supervision: Ada Diaconescu (ACES team).
• Supervision: Jean-Louis Dessalles (DIG team).
• MSc (2021-2023): Polytechnique Montréal, Montréal, Canada.
  • Supervision: Amal Zouaq (LAMA-WeST team).
• Engineering School (2019-2023): Télécom Paris, Palaiseau, France.

Teaching

• Logic, Knowledge Representation and Probabilities (2024-2026), Télécom Paris, Palaiseau, France
• Logics and Symbolic AI (2024-2025), Télécom Paris, Palaiseau, France
• Introduction to algorithmics (2024-2025), Télécom Paris, Palaiseau, France
• Introduction to AI (2024), ENSTA Paris, Palaiseau, France
• Algorithmic Information (2024), Télécom Paris, Palaiseau, France.
• Emergence in Complex Systems (2023-2026), Télécom Paris, Palaiseau, France.
• Natural Language Processing (2022), Polytechnique Montréal, Montréal, Canada.

Software

• actualcauses: a Python package for actual cause identification, designed to support reproducible research on causal explanation and complex systems.
  • Code: SearchingForCauses on GitHub.
  • Paper: Searching for Actual Causes: Approximate Algorithms with Adjustable Precision, Transactions of Machine Learning Research (TMLR), Sept. 2026

Talks

• Main track and workshop papers, ACSOS 2026, Cezene, Italie.
• Main track paper, ACSOS 2025, Tokyo, Japan.
• Main track and workshop papers, ACSOS 2024, Aarhus, Denmark.
• Main track paper, ISWC 2023, Athens, Greece.

Reviewing

• Journals: Machine Learning (Springer), 2026; Trees, Forests and People (Elsevier), 2026.
• Conferences: ACSOS main track, 2026; ACSOS poster track, 2025; AI4AS workshop at ACSOS, 2024.