Degrees

• 2016, PhD, Mathematics and Statistics, Université Paris-Dauphine.
• 2012, MSc, Condensed Matter Physics, Université Paris-Sud.

Employment

• Since 2019, Maitre de conférences (Assistant professor), Laboratoire de Mathématiques d’Orsay, Université Paris-Saclay
• 2016–2019, Postdoctoral researcher, Department of Statistical Sciences, University of Toronto and Vector Institute. I was supervised by Dan Roy.
• 2013–2016, PhD, Mathematics and Statistics, Université Paris-Dauphine and CEA. I was supervised by Judith Rousseau, Eric Barat, and Trong Tuong Truong.

Projects

I am currently involved in the following projects:

• ANR project ASCAI “Active and batch Segmentation, Clustering, and seriation: toward unified foundations in AI”. 2022-2025. Website.
• ERC project “Nonparametric Bayes and empirical Bayes for species sampling problems: classical questions, new directions and related issues”. 2019–2024. Website.

I was involved in the following projects:

• ANR project BNPSI “Bayesian Nonparametric methods for Signal and Image Processing”. 2014–2018. Website.

PhD Students

• Since 2022, Ibrahim Kaddouri, co-supervised with Elisabeth Gassiat. Working on clustering of dependent data.
• Since 2022, Leonardo Martins-Bianco, co-supervised with Christine Keribin. Working on graph clustering.

Others

• Since 2022, I am also “Professeur chargé de cours” at Ecole Polytechnique.
• Since 2021, I co-organise the Statistics seminar of Laboratoire de Mathématiques d’Orsay.
• In 2021, I organised the Bayesian session at Journées MAS.