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Statistics and Actuarial Science
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Research

Our research spans a wide range of methods across statistics, actuarial science, and data science. We pride ourselves on a strong tradition of interdisciplinary work

Featured research projects

William Ruth (shown) and Richard Lockhart are studying the potential spread of COVID-19 through the network of SFU students who share classes.

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Jiahao Tian (shown) and Professor
Tom Loughin are investigating the causal roles of treatment regimes on the quality of life of children with arthritis.

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Professors Jean-François Bégin (shown) and Barbara Sanders are conducting a quantitative study of the impact of pension plan consolidation.

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Research Concentrations

Statistics: From longitudinal to computer experiment to sports analytics to  genetics data, our research is interdisciplinary by nature and involves solving problems across environmental science, medicine, astrophysics, and more. Learn more.

Actuarial Science: SFU is leading the way in multiple areas of actuarial science, including risk theory, stochastic modelling, longevity risk, and financial econometrics. Learn more. 

Data Science: Data science research at SFU includes Bayesian, machine learning, and Big Data methods, with applications to exciting problems in areas such as sport, brain imaging, astronomy, and genetics. Learn more. 

Seminars

The department hosts a vibrant seminar series featuring speakers from around the world. 

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Research resources

Find information about seminars, graduate defences, completed graduate theses, and computing.

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Join our Department

If you’re interested in breaking new ground in data science, statistics, and actuarial science with the next generation of researchers, see our current openings.

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