Associate Professor
Department of Mathematics and Statistics
Université de Montréal

My research work focuses on the design and analysis of algorithms used in Statistics and Machine Learning applications. Algorithms are regarded as generators of sequences of real numbers or vectors (often random) which can be generated on a computer. To be useful, these sequences must help solving the learning problem at hand, essentially numerical integration or optimization, with theoretical guarantees and in a computationally efficient manner. Most of my research is concerned with Markov chain Monte Carlo methods, variational inference, EM algorithms with applications to Graphical models, Bayesian model selection and Bayesian Statistics in general.

If you are a student interested by those topics, feel free to reach out!

• 2026: NSERC Discovery Grant, External Reviewer

• 2022-2025: NSERC Committee 177 Scholarships and Fellowships Selection Committee for Mathematical Sciences

• 2021-2024: Associate Editor for The Canadian Journal of Statistics

• 2020-2023: STATLAB-CANSSI Postdoctoral Scholarship Selection Committee

• 2022: Organisation Committee of the Bayesian Young Statistician Meeting (BAYSM) June 22-23, 2022, Univ. de Montréal

• I have acted as a reviewer for a number of journals and conferences including Statistics and Computing, Journal of Computational and Graphical Statistics, Bayesian Analysis, Electronic Journal of Statistics, Scandinavian Journal of Statistics, Biometrika, Annals of Applied Probability, Journal of Applied Probability, Stochastic Processes and their Applications, Statistics and Probability Letters, Journal of Machine Learning, IEEE Transactions on Signal Processing, NeurIPS, AISTATS, ICML

• email: florian.maire at umontreal.ca

• address: Pavillon A. Aisenstadt (local 4253), 2920, chemin de la tour, Montréal