Introduction
I am professor at Paris-Saclay university in the Laboratoire de Mathématiques d'Orsay (LMO).
Previously, I was maître de conférences, in the Laboratoire de Probabilités, Statistique, et Modélisation (LPSM, formerly LSTA+LPMA), in Sorbonne Université (formerly Université Pierre et Marie Curie - UPMC, Paris VI).
From 2017 to 2020, I was also an associate member in the DMA at École Normale Supérieure, Paris.
Job opportunities
- Postdoc position in LMO 🇫🇷 🐓 - To be filled starting in Fall 2025.
Research topics of interest include, but are not limited to: - Optimization and statistics for (deep) learning
- Learning with missing data
- Physics-informed machine learning (hybrid modeling)
- Attention-based learning (mathematics for LLMs)
- Generative modeling (diffusion, matching flow)
- Application should be submitted by sending an email describing motivations and research interests, along with CV and recommendation letters (or names of academic researchers as references), to: claire.boyer@universite-paris-saclay.fr
Research interests
Inverse problems
Compressed sensing
High-dimensional data reconstruction
Optimization
Missing data
Mathematics of Machine Learning
Physics-informed Machine Learning