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Institute of Applied Data Science

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Dr Alex Shestopaloff

Alex  ShestopaloffPhD in Statistics

Lecturer

School of Mathematical Sciences
Mathematical Sciences

www.utstat.utoronto.ca/~alexander/

Research

Markov Chain Monte Carlo (MCMC) methods, Bayesian inference in complex stochastic models, Statistical Science

Interests

Alex Shestopaloff is a Fellow of the Alan Turing Institute and Lecturer (Assistant Professor) in Statistics at Queen Mary University of London (School of Mathematical Sciences). He is primarily interested in developing efficient Monte Carlo methods for statistical inference problems.

He was previously a Research Fellow of the Alan Turing Institute, mentored by Arnaud Doucet and obtained his PhD in Statistics from the Department of Statistical Sciences, University of Toronto in June 2016, under the supervison of Radford M. Neal.

E-mail: ashestopaloff@turing.ac.uk