Mathieu Laurière

Mathieu Laurière serves as an Assistant Professor of Mathematics and Data Science at New York University Shanghai, contributing to both theoretical and applied research domains.

His research portfolio spans eight core areas: Mean Field Control, Mean Field Games, Numerical Methods, Partial Differential Equations, Stochastic Analysis, Machine Learning, Complexity Theory, and Quantum Computing. This interdisciplinary work bridges advanced mathematical frameworks with computational challenges in data science and quantum information processing, emphasizing algorithmic development and theoretical modeling.