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Christopher's research interests lie at the intersection of actuarial science, machine learning, and statistics, with a particular focus on dependence modelling and statistical inference. He has contributed significantly to the body of knowledge through journal publications in actuarial science, statistics, machine learning, and applied probability. His research explores a variety of topics, including non-life insurance, risk theory, risk-sharing, and the application of machine learning in statistical methods and applied probability, as well as multivariate analysis.
University of Toronto • Toronto, ON
Teaching and conducting research in actuarial science, machine learning, and statistics.
Department of Sociology