Austin David Brown
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Email: ad.brown [at] utoronto [dot] ca
Department of Statistical Sciences at University of Toronto
Office 9183, 700 University Avenue, 9th Floor
Toronto, ON, M5G 1Z5

I am a Postdoctoral Fellow in statistics at the University of Toronto supervised by Jeffrey Rosenthal. Previously, I was a Research Fellow at the University of Warwick supervised by Krzysztof Łatuszyński and Gareth Roberts. I completed my PhD in statistics at the University of Minnesota, Twin Cities in August 2022 where my advisor was Galin Jones.

My main research focus is on the design, reliability, and computational efficiency of Markov chain Monte Carlo algorithms by studying their convergence properties with optimal transportation. Creating reliable, computationally efficient Markov chain Monte Carlo algorithms in high dimensions for practitioners is a core motivation for my research. Additionally, I am interested in applications of Markov chain Monte Carlo to Bayesian error-in-variable models for machine learning, astrophysics, and epidemiology. My other research interests are in applications of optimal transport to stochastic processes, and I am also interested in combining optimal transport and theory for Markov chain Monte Carlo to study generative A.I. models in the future.

My curriculum vitae has an updated list of my publications and and the majority of my publication preprints are available on arXiv. This site also contains some blog posts when I was a graduate student.

|   Publications and preprints
|   Seminar talks and posters
|   Software packages
|   Teaching