My research interests are Bayesian inference, in particular robust inference in the presence of outliers, and computational statistics, in particular Markov chain Monte Carlo methods. I also have an interest for the application of the methodology I develop in actuarial science. Please see my personal web page for more information and a list of my publications.

 

Advertisement: I am always looking for students with a strong background in either: theoretical statistics, applied statistics and actuarial science, or computer science (to develop R or Python packages for a user-friendly and efficient implementation of the developed methods). There exist multiple funding opportunities. In particular, I obtained grants that are dedicated to the funding of world-class MSc and PhD students, and postdoctoral researchers (see my personal web page for more details). Also, prospective students and postdocs can apply for scholarships such as those of NSERC and FRQNT. Please do not hesitate to contact me if you are interested in my research. I aim to provide an environment to my students that is equitable, inclusive and diversified. In particular, recruiting will be done according to Université de Montréal's Equity, Diversity and Inclusion policy.