- Development of probabilistic models and statistical learning methods for ecology and life sciences. - Models for interaction network data: multi-level, multiplex, multipartite … - Latent variable models - Bayesian statistics - Stochastic algorithms for inference, variational inference - Applications in ecology, biodiversity, agronomy, environnemental sciences