Short bio

Christopher Blier-Wong is an Assistant Professor of Actuarial Science at the University of Toronto. His research intersects actuarial science, statistics, and machine learning, focusing on dependence modelling and e-values. He has contributed to these fields through numerous publications in prestigious journals across actuarial science, statistics, machine learning, and applied probability. His scholarly work covers a broad spectrum of topics, including non-life insurance, risk theory, risk-sharing, and the innovative application of machine learning techniques in statistical analysis and applied probability.

Currently recruiting PhD students interested in actuarial science, statistics, machine learning, risk measures and data science with applications in insurance. Please see Recruiting for more details.

Education

• PhD in actuarial science, Université Laval (2023)
• MSc in computer science, Université Laval (2019)
• MSc in actuarial science, Université Laval (2018)
• BSc in actuarial science, Université Laval (2017)

Research

• Interests: Property and casualty insurance, pricing, machine learning, dependence modelling, capital allocation, collective risk models, e-values, selective inference
• Peer review service: Annals of Actuarial Science, Applied Stochastic Models in Business and Industry, ASTIN Bulletin, European Actuarial Journal, Insurance: Mathematics and Economics, Journal of Risk and Insurance, North American Actuarial Journal, Scandinavian Actuarial Journal, Statistics and Probability Letters, Test, The American Statistician (24 papers)

Teaching

• Instructor, University of Toronto.
  • STA 2536: Data Science for Risk Modelling (Fall 2024, 2025)
  • ACT 240: Mathematics of Investment & Credit (Fall 2025)
  • ACT 351/STA 2500: Loss Models I (Fall 2025)
  • ACT 452: Loss Models II (Winter 2025)
• Instructor, Université Laval.
  • ACT 1003: Complements in mathematics (autumn 2019, winter 2020, autumn 2020)
• Teaching assistant, Université Laval (2015-2019) for courses in actuarial science (life, P&C, risk theory) and computer science (VBA, big data).

Professional

• Professional exams (CAS & CIA): 1, 2, 3F, MAS-I, MAS-II, OC1, OC2, 5, 7

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