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Bio

Florian Maire is an Assistant Professor at the University of Montreal, Canada, since 2018. Prior to that, he got is PhD from Telecom SudParis and University Paris 6 in 2014 and was a research fellow at University College Dublin, Ireland. His research area is on the design and analysis of methods used in Statistical Learning, such as Markov chain Monte Carlo algorithms in Bayesian Statistics (MCMC). His current work includes exact approximations, scalability and complexity of MCMC methods with applications to high-dimensional problems.