Marie-Anne Poursat

Marie-Anne Poursat is a mathematician and Lecturer in mathematics at Université Paris-Saclay, affiliated with the Orsay Mathematics Laboratory (LMO - Univ. Paris-Saclay/CNRS). With a career spanning research and education, she has contributed to non-parametric statistical methods, phylogenetic modeling, and applied machine learning in bioinformatics.

• Education: ENS Paris-Saclay, Master's in Statistics and Stochastic Models
• Research: Innovations in statistical calibration for biological assays, heterogeneous evolutionary speed modeling in phylogenetics, and machine learning for large-scale biological data
• Teaching Leadership: Pioneered professional master's programs in mathematical engineering and co-created the Mathematics and Artificial Intelligence study path to improve accessibility and diversity in AI education

Her work bridges mathematical theory with interdisciplinary applications in agronomy, pharmacology, and biology through collaborations with institutions like INRAE, Inria, and the POPIX/CELESTE project teams. She actively advocates for increased female representation in AI and mathematics through curriculum development and policy initiatives.

Current initiatives include:

• Expanding double undergraduate degrees (e.g., computer science-mathematics, mathematics-physics) to prepare students for master's programs
• Integrating industrial research training agreements (CIFRE) to connect academic training with professional opportunities
• Addressing gender disparity in AI education (<30% female enrollment in her programs)