Vianney Perchet is a Professor at CREST, ENSAE Paris, where his research lies at the intersection of machine learning, game theory, mathematics, computer science, and economics. He is also a Hi! PARIS Fellow for the 2025-2028 period.

His work focuses on both theoretical and applied questions, ranging from the convergence rates of algorithms to the modeling of user behavior and the optimization of recommender systems. His research interests include reinforcement learning, social learning, online matching, bandits, and auction theory. Before joining ENSAE Paris in 2019, he was Professor and Head of the Mathematics Department at École Normale Supérieure Paris-Saclay, within CMLA, now Centre Borelli. He was previously an Assistant Professor at Université Paris Diderot, Paris VII, within LPMA, now LPSM.

He has a Hi! PARIS Synergy Fellowship project with Patrick Loiseau, Yuki Tamura, and Pablo Winant on Design, Incentivization, Optimization and Reinforcement Learning of Multi-Layered Markets. The project focuses on the design and optimization of complex markets, such as labor and online advertising markets, by combining market design, reinforcement learning, and mean-field Stackelberg games. It aims to help evaluate and improve market policies across objectives such as efficiency, revenue, and fairness.