I studied Engineering and Financial Mathematics at Telecom SudParis (MSc). After obtaining in 2014 my PhD jointly from Université Pierre et Marie Curie (Paris 6) and Telecom SudParis under the supervision of Éric Moulines and Randal Douc, I moved to Dublin (Ireland) where I was a postdoctoral research fellow working in the group of Nial Friel at the School of Mathematics and Statistics of University College Dublin (UCD) and at Insight (Centre for Data Analytics). Since September 2018, I am Assistant Professor of Statistics at the Département de mathématiques et de statistique of Université de Montréal in Canada. Here is a recent CV.
My research interests are computational statistics, in particular Markov chain Monte Carlo methods and Expectation Maximization algorithms with application to Big data problems, Image processing and Network models.
I completed my PhD thesis at Telecom SudParis under the joint supervision of Eric Moulines and Randal Douc and Sidonie Lefebvre (ONERA) in 2014. It deals with anomaly detection and classification in multispectral images and can be found here.
I am not presently teaching.
I have reviewed papers for:
Annals of Applied Probability
Electronic Journal of Statistics
IEEE, Transactions on Signal Processing
Statistics and Computing
I co-supervised with Nial Friel Lampros Bouranis during his PhD (awarded Jan. 2018). His work has mostly been about Bayesian inference for exponential random graph models.
I supervised the research project of four Master students
Marie Vialaret (ENSAE, Malakoff), June-November 2017. She worked on non-reversible Markov chains and their application to design efficient MCMC algorithms. Here is a paper that we wrote together: arXiv/1807.02614.
Olivier Roux (Centrale, Marseille), Feb.-July 2016. He studied approximations of Continuous Time Markov chains with application to protein dynamics (joint supervision with Prof. Vio Buchete, School of Physics, UCD) . (report)
Lionel Riou-Durand (ENSAE, Malakoff), Summer 2015. He studied the stability of different Markov chains based on variations of the Metropolis-Hastings algorithm. (report)
Adil Salim (ENSAE, Malakoff), Summer 2014. He studied the influence of ordering the data in Sequential Monte Carlo methods for static inference. (report)
In November 2016, I was awarded the 2016 DGA prize for my PhD thesis. The DGA is the French procurement agency and found (or partially found) around 450 PhD thesis. It rewards every year three PhD thesis for their original scientiﬁc contribution.
I am based in Pavillion André Aisenstadt, 4th floor (4243), 2920, chemin de la Tour, Montréal (Québec) H3T 1J4, Canada.
Université de Montréal webpage.
Google Scholar profile.