Mathieu Sart

Mathieu Sart is a Lecturer in Statistical Mathematics at Jean Monnet University in Saint-Etienne. He works at the Camille Jordan Institute (ICJ) and teaches at the Institut d'Administration des Entreprises de Saint-Etienne (IAE). His research focuses on optimal estimation, robustness, and numerical complexity in statistical frameworks involving censored or noisy data.

His work intersects with modern applications in

• Data Science
• Artificial Intelligence
• Deep Learning

. He emphasizes the bidirectional relationship between teaching and research, advocating for curiosity and perseverance in academic pursuits.

In 2016, he contributed to a high-impact publication in Inventiones mathematicae, one of the leading international mathematics journals. His research aims to develop versatile statistical procedures resilient to imperfect modeling.