ORAILIX is an Artificial Intelligence research group at the Laboratoire d’Informatique de l’École Polytechnique (LIX), part of École Polytechnique and Institut Polytechnique de Paris, directed by Prof. Sonia Vanier. Founded in September 2024, we develop hybrid approaches that combine modern machine learning with the robustness of operations research, with research axes in trustworthy and responsible AI, AI for mobility, and robust decision systems for complex industrial processes. Our work is embedded in two industrial research chairs at École Polytechnique with Crédit Agricole on trustworthy AI, and with SNCF on AI and optimisation for mobility.
ORAILIX is an AI research group at École Polytechnique's LIX, developing hybrid Artificial Intelligence and Operations Research for trustworthy ML, AI for mobility and robust decision systems.
Meet the teamThree directions the group organises its work around. Each page gathers the people, publications and partners behind that axis.
Memorisation, hallucination, interpretability, audit. Chair with Crédit Agricole.
Read more → Axis IIRailway delay prediction, predictive maintenance, RL for industrial systems. Chair with SNCF.
Read more → Axis IIIPattern extraction with guaranteed-feasibility optimisation. The methodological core.
Read more →The team sits at the intersection of LIX, École Polytechnique and Institut Polytechnique de Paris, with industry chairs powering work across trustworthy AI, mobilities, and hybrid ML + operations research. Hover a node to highlight its connections.
From research code to model weights and datasets, we publish the building blocks of our work so others can reproduce, build on, and challenge it.
Selected coverage of ORAILIX research, partnerships and chair launches.



