Mock Team

Mock team

Mock team

Marc Abeille

Staff Researcher

Reinforcement learning, bandit, exploration exploitation, planning and control
Mock team

Lucas Anquetil

Research Intern

Set generation
Mock team

Artem Betlei

PhD Candidate

Uplift modeling
Mock team

Clément Calauzènes

Research Team Lead

Explore/Exploitation, mechanism design, preference learning
Mock team

Lorenzo Croissant

PhD Candidate

Reinforcement Learning, Control Theory, Bandits, Auctions.
Mock team

Eustache Diemert

Senior Staff Research Lead

Causality and AI
Mock team

Louis Faury

PhD Candidate

Bandit optimization
Mock team

Patrick Gallinari

Distinguished Researcher

Deep Learning
Mock team

Mike Gartrell

Senior Researcher

Set-based modeling and recommendation, diverse subset selection
Mock team

Morgane Goibert

PhD Candidate

Deep Learning, Adversarial Robustness
Mock team

Amélie Héliou

Senior Researcher

Causal Inference, Bandits games, Fairness
Mock team

Benjamin Heymann

Senior Researcher

Incrementality and attribution
Game theory and Control
Mock team

Massil Hihat

Research Intern

Mechanism design, auction theory
Mock team

Thibaut Issenhuth

PhD Candidate

Deep generative models, applications to automatic image synthesis and editing
Mock team

Sergey Ivanov

Senior Research Scientist

Graph machine learning, recommendation systems, reinforcement learning
Mock team

Alberto Lumbreras

Staff Research Scientist

Representation learning, deep generative models, Bayesian inference
Mock team

Amin Mantrach

Staff Researcher Lead

Graph embedding, transfer learning
Mock team

Matthieu Martin

Senior Researcher

Optimization, bandits, privacy, causal inference
Mock team

Jeremie Mary

Senior Staff Researcher

Reinforcement learning, image processing
Mock team

Matthieu Kirchmeyer

PhD Candidate

Mock team

Panayotis Mertikopoulos

Principal researcher, part-time

Online learning, game theory, optimization
Mock team

Vianney Perchet

Principal Researcher, part-time

Research on better and more efficient exploration of decision space, design of mechanisms and market
Mock team

Thibaud Rahier

Senior Researcher

Causal inference, bandits, graphical models, décision trees, semi-parametric statistics
Mock team

Alain Rakotomamonjy

Principal researcher, part-time

domain adaptation, optimal transport, multi-task
Mock team

Liva Ralaivola

Director of AI Research

Bandits, concentration inequalities, greedy algorithms
Mock team

Thomas Ricatte

Senior Machine Learning Researcher

Deep learning, adversarial attacks
Mock team

David Rohde

Recommendation Research Lead

Recommendation, Bayesian machine learning, causality
Mock team

Otmane Sakhi

PhD Candidate

Approximate inference, probabilistic modeling, counterfactual estimation
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Lorenzo Croissant

PhD Candidate

Reinforcement Learning, Control Theory, Bandits, Auctions
Paris

Patrick Gallinari

Distinguished Researcher

Deep Learning

Amélie Héliou

Senior Researcher

Causal Inference, Bandits games, Fairness
Paris

Artem Betlei

PhD Candidate

Uplift modeling
Grenoble

Otmane Sakhi

PhD Candidate

Paris

Massil Hihat

Research Intern

David Rohde

Recommendation Research Lead

Mike Gartrell

Senior Researcher

Thomas Ricatte

Senior Machine Learning Researcher

Jeremie Mary

Senior Staff Researcher

Paris

Panayotis Mertikopoulos

Principal researcher, part-time

Grenoble

Alberto Lumbreras

Staff Research Scientist

Sergey Ivanov

Senior Research Scientist

Lucas Anquetil

Research Intern

Thibaud Rahier

Senior Researcher

Eustache Diemert

Senior Staff Research Lead

Vianney Perchet

Principal Researcher, part-time

Paris

Matthieu Kirchmeyer

PhD Candidate

Morgane Goibert

PhD Candidate

Liva Ralaivola

Director of AI Research

Bandits, concentration inequalities, greedy algorithms

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