Welcome to my homepage!

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.


Internship and PhD openings.

Research interests

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.

Associate editorship

Bayesian Analysis (2019 - )

Australian and New Zealand Journal of Statistics (2019 - )

Statistics & Probability Letters (2019 - )

Statistical Methods & Applications (2024 - )

Computational Statistics & Data Analysis (2020 - 2023)


[30 Oct. - 3 Nov.] Bayesian autumn school, CIRM, Marseille.

[Oct 2] Talk at the University of Edinburgh, about "Rapture of the deep: highs and lows of Bayes in a world of depths"

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

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

Older news

[November] We have launched a Bayesian Group at the French stat society (SFdS).

[October] I submitted my first review for COMPUTO, the new journal of the French stat society (SFdS).

[October] I'm a Management Committee Member of the HiTEc COST Action.

[March 30] I was part of the PhD jury of Meryem Bousebata: "Statistical inference for extreme risk measures: Implication for the insurance of natural disasters.

[March 23] I was part of the PhD jury of Ioanni Mitro: "Bayesian Neural Networks for Out of Distribution Detection". 

[March 22] Mariia Vladimirova defended her PhD entitled "Distributional Properties of Bayesian Neural Networks".

[Nov 27] Talk at Oaxaca OBayes workshop on Extreme value theory with noninformative priors & MCMC convergence diagnostic with a local R-hat. Video.

[Nov 20] Elected in the ISBA Board. Tweet.

[Oct 15] ISBA elections running until Nov 15. I'm a candidate for the board.

[Oct 1] Our Bayes-Duality project is launched with a funding of $2.76 million by Japan JST - French ANR. Follow @BayesDuality.

[Sept] Paper accepted at ACML: Bayesian neural network unit priors and generalized Weibull-tail property.

[Sept] New preprint: Approximate Bayesian computation with surrogate posteriors.

[Sept] New preprint: Identifying and correcting multiple sources of misspecification in GWAS summary statistics for polygenic scores.

[May] Paper accepted at ANZJS: BNPdensity: Bayesian nonparametric mixture modeling in R. Link to R package.

Contact Information

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.

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