Pablo Winant is a Professor at École polytechnique, Research Affiliate at CREST, and Scientific Advisor at CEPII, an Associate Professor of Economics at ESCP Business School, and a Hi! PARIS Fellow.

His research focuses on macro-finance, international macroeconomics, inequality, and computational economics. His work explores topics such as financial integration, economic growth, capital flows, crises, leverage, and the use of computational methods to solve dynamic economic models. He has published in leading journals including the Journal of Monetary Economics, American Economic Review, IMF Economic Review, Economics Letters, and the Journal of Economic Dynamics and Control. He is also the developer of Dolo, a library for economic modeling in Python and Julia.

He has a Hi! PARIS Synergy Fellowship project with Patrick Loiseau, Vianney Perchet, and Yuki Tamura 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.