# Research team ## Marc Abeille #### Staff Researcher Lead Reinforcement learning, bandit, exploration exploitation, planning and control ## Ahmed Ben Yahmed #### PhD Candidate ## Alexander Merkov #### Researcher ## Alexandre Gilotte #### Staff Researcher ## Antoine Schnepf #### PhD Candidate ## Artem Betlei #### Researcher Uplift modeling ## Clément Calauzènes #### Senior Engineering Manager Explore/Exploitation, mechanism design, preference learning ## Corentin Odic #### ML Engineer ## Corentin Pla #### PhD Candidate Reinforcement Learning, Game Theory, Privacy ## Eustache Diemert #### Senior Staff Research Lead Causality and AI ## Flavian Vasile #### Chief AI Architect ## Patrick Gallinari #### Distinguished Researcher Deep Learning, Foundation Models, Natural Language Processing ## Mike Gartrell #### Senior Researcher Set-based modeling and recommendation, diverse subset selection ## Morgane Goibert #### PhD Candidate Deep Learning, Adversarial Robustness ## Benjamin Heymann #### Staff Researcher Incrementality and attribution Game theory and Control ## Hugo Richard #### Senior Researcher Online Learning, Competitive analysis, Reinforcement Learning ## Ilana Sebag #### PhD Candidate Privacy-Preserving Machine Learning, GenAI ## Imad Aouali #### PhD Candidate Reinforcement Learning, Recommender Systems, Generative Models ## Imane Baha #### ML Engineer ## Thibaut Issenhuth #### Researcher Deep generative models, applications to automatic image synthesis and editing ## Jean-Yves Franceschi #### Senior Researcher ## Julien Zhou #### PhD Candidate ## Karim Kassab #### PhD Candidate 3D, Inverse Graphics, Novel View Synthesis, NeRF ## Lilian Hunout #### ML Engineer ## Ludovic Dos Santos #### Staff Researcher ## Alberto Lumbreras #### Staff Research Scientist Representation learning, deep generative models, Bayesian inference ## Maria Cherifa #### PhD Candidate ## Mariia Vladimirova #### Senior Researcher Fairness, Deep Learning, Causality, AI Regulation ## Jeremie Mary #### Senior Staff Researcher Reinforcement learning, image processing ## Matthieu Kirchmeyer #### PhD Candidate deep learning, domain adaptation, domain generalization ## Maxime Vono #### Staff Researcher ## Mehdi Sebbar #### Staff ML Engineer ## Mélissa Tamine #### PhD Candidate Data Valuation ## Vianney Perchet #### Principal Researcher, part-time Research on better and more efficient exploration of decision space, design of mechanisms and market ## Thibaud Rahier #### Staff Researcher Causal inference, bandits, graphical models, décision trees, semi-parametric statistics ## Alain Rakotomamonjy #### Principal researcher domain adaptation, optimal transport, multi-task, NLP ## Liva Ralaivola #### Director of AI Research Bandits, concentration inequalities, greedy algorithms ## Renaud Bauvin #### Senior Engineering Manager ## Thomas Ricatte #### Senior Machine Learning Researcher Deep learning, adversarial attacks ## David Rohde #### Staff Researcher Lead Recommendation, Bayesian machine learning, causality ## Otmane Sakhi #### Researcher Approximate inference, probabilistic modeling, counterfactual estimation ## Simon Lepage #### PhD Candidate Deep Learning, Embeddings, Retrieval ## Song Duong #### PhD Student Working on the Text-to-data and Data-to-text problem. ## Houssam Zenati #### PhD Candidate Counterfactual Learning, Online Learning, Causal Inference