Christopher Blier-Wong is a postdoctoral researcher at the University of Waterloo, working under the supervision of Professor Ruodu Wang. His research interests lie in the intersection of actuarial science, machine learning, and statistics, with a particular focus on dependence modelling and e-variables. Christopher has contributed to the body of knowledge through journal publications in areas such as 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.
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, 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 (19 reviews)
Teaching
- Lecturer, Complements in mathematics, Université Laval (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
- External consultant, Intact Financial Corporation (2017-2023)
- Professional exams (CAS & CIA): 1, 2, 3F, MAS-I, MAS-II, OC1, OC2, 5, 7
Contact
Christopher Blier-Wong's blog 