Mathieu Laurière
استادیار · Mean Field Games
Weierstrass Institute for Applied Analysis and Stochasticsمعرفی
Mathieu Laurière is an Assistant Professor of Mathematics and Data Science at New York University Shanghai, actively contributing to the NYU-ECNU Institute of Mathematical Sciences. His academic trajectory includes a postdoctoral fellowship at NYU Shanghai, a Postdoctoral Research Associate position at Princeton University’s Operations Research and Financial Engineering department, and a Visiting Faculty Researcher role at Google Research (Brain Team, Paris).
His educational credentials comprise a Master of Science from Sorbonne University (Paris 6) and École normale supérieure Paris-Saclay (formerly ENS Cachan), followed by a PhD from Université Paris Diderot (Paris 7).
Research focuses on Mean Field Games and Mean Field Control, developing numerical methods and machine learning algorithms for large-scale strategic interactions. He bridges stochastic analysis, partial differential equations, and deep learning to address finance, operations research, and environmental challenges like traffic routing and epidemic control. Recent work emphasizes scalability and robustness in multi-agent systems.
His 2024-2025 publications reveal a dominant trend toward reinforcement learning for mean field games, featuring convergence guarantees, graphon-based control, Stackelberg formulations for green regulation, and cross-disciplinary links with optimal transport. Key applications target investment strategies, carbon markets, and traffic systems using simulation-free deep learning.
No scientific awards or fellowships are documented in the provided sources.
As faculty, he mentors graduate students though specific names aren’t listed. His leadership in co-organizing webinars and delivering tutorials (e.g., at INFORMS and AAAI conferences) underscores academic engagement. Research is supported by institutional collaborations with Google Brain and Princeton University, but grant details remain unspecified.
He operates within the NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai, building on prior affiliations with Google’s Brain Team and Princeton’s ORFE department. His work integrates teams across machine learning, operations research, and financial engineering for real-world implementations.
