Claire Boyer

Claire Boyer is a Professor at Université Paris-Saclay, affiliated with the Laboratoire de Mathématiques d'Orsay (LMO). Previously, she held positions at Sorbonne Université, including as Maître de Conférences in the Laboratoire de Probabilités, Statistique, et Modélisation (LPSM). She was also an associate member at the Département de Mathématiques et Applications (DMA) at École Normale Supérieure, Paris, from 2017 to 2020.

Her research focuses on Inverse Problems, Compressed Sensing, High-Dimensional Data Reconstruction, Optimization, Missing Data, and interdisciplinary areas such as the Mathematics of Machine Learning and Physics-Informed Machine Learning. Her work bridges theoretical foundations with applications in data science and computational methods.

While no specific grants or awards are listed, her academic trajectory reflects sustained contributions to applied mathematics and machine learning. Her affiliations with LMO and prior institutions highlight collaborations across mathematical disciplines. No current job openings or student advisement details are provided in the text.

She is associated with key research groups including LMO at Paris-Saclay and DMA at ENS Paris, reflecting her involvement in cutting-edge mathematical research initiatives.