Welcome

I am an associate researcher (chargé de recherche) at Inria Grenoble - Rhône-Alpes in the Statify team and member of Laboratoire Jean Kuntzmann in Université Grenoble Alpes. Prior to that, I was a postdoc at Bocconi University (Milan) and Collegio Carlo Alberto (Turin), and a statistician at Insee (French National Institute of Statistics and Economic Studies, Paris). I received my PhD in Applied Mathematics (Statistics) at Université Paris-Dauphine (with Judith Rousseau and Ghislaine Gayraud). I graduated from Ecole Polytechnique and ENSAE. I defended the French HDR in 2019. I am writing on the collaborative blog Statisfaction (formerly hosted here). More in my CV.

I strive to fly less.

Bayesian Statistics: Approximations; Computation; Nonparametrics; Extreme value theory; Objective Bayes.

Bayesian Machine Learning: Bayesian neural networks; Variational inference.

Applications of the above in environmental science and neuroscience.

[September] Invited to GenU Workshop in Copenhagen.

[August] I organized a Bayesian deep learning session at Journées MAS, Poitiers.

[June-July] Wonderful conferences: Bayes-Duality at RIKEN, Tokyo, and ISBA World Meeting in Venice.

[May] Louise & Dasha's paper on Bayesian mixture models (in)consistency accepted at Scandinavian Journal of Statistics.

[April] Dasha and Charles' paper on discovering summary causal graphs accepted at TMLR.

Older news

[Oct-Nov 2023] Bayesian autumn school, CIRM, Marseille.

[Oct 2023] Talk at the University of Edinburgh, about "Rapture of the deep: highs and lows of Bayes in a world of depths"

[Sept 2023] "A Primer on Bayesian Neural Networks: Review and Debates" on arXiv.

[May-Sept 2023] Four PhD students have defended: Giovanni Poggiato, Daria Bystrova, Minh Tri Lê, and Théo Moins.

Email: first_name[dot]last_name[at]inria[dot]fr

Phone: (+33) 6 43 28 75 03

Office: Inria Grenoble Rhône-Alpes, 655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France.