- Book: Model-based Clustering and Classification for Data Science, with Applications in R
- Several preprints
- DeepLPTM: A new method for clustering and representation of networks with textual edges
- CleverFish: AI-based video analysis for marine biology and species tracking
- HDMI: A model-based image denoising technique
- StreamETM: An online topic modeling method
- HDclassif: An R package for clustering and classification of high-dimensional data
Research Experience
- Develops innovative statistical methodologies to address modern data problems
- Publishes multiple R packages to promote his statistical methods
- Deeply involved in the valorisation of research products
Education
No specific education background information provided
Background
- Full Professor of Statistics
- Head of the INRIA research team MAASAI
- Associate editor for The Annals of Applied Statistics
- Founding organizer of the Statlearn workshops series
- Research interests include: statistical learning in high dimensions, statistical learning on networks, deep latent variable models, adaptive statistical learning, modeling of evolving data, etc.
- Applications in medicine, image analysis, astrophysics, humanities, etc.
Miscellany
No personal interests or hobbies information provided