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.