Alex received his PhD in Statistics from the University of Toronto in 2016, with a thesis on Markov Chain Monte Carlo (MCMC) methods for Bayesian inference in complex stochastic models. Alex's research was supervised by Prof. Radford M. Neal.

Research interests

Alex plans to continue his research in MCMC and related methods to further improve their efficiency and broaden their applicability. In particular, Alex is interested in looking at novel Sequential Monte Carlo methods for high-dimensional state space models as well as MCMC methods for sampling in discrete spaces.