Welcome to my homepage!

I am a researcher at Inria Grenoble - Rhône-Alpes in the Mistis team (Grenoble, France) and member of Laboratoire Jean Kuntzmann in Université Grenoble Alpes. Prior to that, I have been a postdoc at Bocconi University (Milan, Italy) and Collegio Carlo Alberto (Turin, Italy), 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. My supervisors were Judith Rousseau and Ghislaine Gayraud. I also graduated from Ecole Polytechnique (Palaiseau, France) and Ensae (Paris).

More in my CV.

Research interests

Bayesian Statistics: Approximations; Asymptotic aspects in nonparametric Statistics; Bayesian computation; Bayesian nonparametrics; Extreme value theory; Infinite mixture models; Objective Bayes.

Bayesian Machine Learning: Bayesian neural networks; Variational inference.

Applications of the above in Astrophysics, Ecological science, Neuroscience.

Editorial activity

Associate editor

Bayesian Analysis (2019-2021)

Australian and New Zealand Journal of Statistics (2019- )

Statistics & Probability Letters (2019- )

Computational Statistics & Data Analysis (2020- )

Recent News

March 19-20: organising ABC in Grenoble.

April 4-5, 2019: organising a two-day workshop in Grenoble, StatLearn 2019. Call for posters opens early January 2019.

September 6-7 2018: organised a two-day workshop in Grenoble on Bayesian learning theory for complex data modelling. Call for presentations open till June 30.

June 2018: organised a session at ISBA 2018 Edinburgh with Richard Nickl on Bayesian nonparametrics for stochastic processes.

April 26-27 2018: co-organised a workshop on random graphs in Grenoble. Alisa Kirichenko's talk on Function estimation on large graphs part of Bayes in Grenoble.

Marta Crispino, Florence Forbes and I organise Bayes in Grenoble, a monthly reading group on Bayesian statistical methods held at Inria.

Less Recent News

  • May: gave a talk to middle/high school students for Math Olympiads, Grenoble, about the mathematics of AI. slides (in French, 140 Mo).
  • Speaking about Good practice in coding in R at the R User Group in Grenoble on February 8.
  • Many visits in Grenoble in Spring 2018: Jan-May: Eric Marchand (Université de Sherbrooke), 15-19 Jan: Łukasz Rajkowski (University of Warsaw); February-March: Riccardo Corradin (Biccoca Milan/Trinity College Dublin). All giving a talk at Bayes in Grenoble.
  • Paper on the sub-Gaussianity of the Beta distribution accepted in Electronic Communications in Probability [ DOI | arXiv | HAL | blog ].
  • Fall 2017: there is a new R User Group in Grenoble.
  • October 9-13, 2017: organising the School of Statistics for Astrophysics: Bayesian methodology, Autrans, France.
  • October 16, 2017: speaking at Workshop 'New challenges in statistics for social sciences', Ca' Foscari University of Venice.
  • Spring 2017: visited University of Texas at Austin for 3 months (Department of Statistics & Data Science), Duke University, Université du Québec à Montréal.
  • Spring 2017: PhD course, Bayesian nonparametric statistics, at Université Grenoble Alpes.

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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