Christopher Blier-Wong is an assistant professor at the University of Toronto. His research interests lie in the intersection of actuarial science, machine learning, and statistics, with a particular focus on dependence modelling, e-variables, and risk modelling with unstructured data. Christopher has contributed 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, the application of machine learning and statistics in applied probability, and multivariate analysis.

For more information, refer to his personal website here.

Email: christopher [dot] blierwong [at] utoronto [dot] ca