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
- PhD position in LMO
If you're interested, research topics include (sorted according to my scientific priorities), but are not limited to: - Attention-based learning (mathematics for LLMs and LLMs for mathematics)
- Generative modeling (diffusion, matching flow)
- Optimization and statistics for (deep) learning
- Physics-informed machine learning (hybrid modeling)
- Learning with missing data
- Application should be submitted by sending an email describing motivations and research interests, along with CV, transcripts and recommendation letters (or names of academic researchers as references), to: claire.boyer@universite-paris-saclay.fr
Research interests
Mathematics of Machine Learning
Statistical learning
Optimization and learning
Generative models
Transformer-based learning
Diffusion-based models
Physics-informed Machine Learning
Missing data
Inverse problems