Welcome to the Department of Statistics and Actuarial Science

The Department of Statistics and Actuarial Science is a top tier academic unit among statistical and actuarial science globally. Our students and faculty explore topics such as Actuarial Science, Biostatistics, Data Science, Quantitative Finance, Statistics, & Statistics-Computing. Our department is home to:

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full-time faculty researching diverse and exciting areas

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undergraduate students from around the world

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 graduate students in Master, Doctoral, and professional programs

Interested in graduate studies with Statistics and Actuarial Science? Meet Mingyu (Bruce) Feng, a PhD student in actuarial science. Bruce is a pioneer researcher in the field of sustainable investment and the impact of climate change. Learn more about furthering your education on the Future Graduate page on the Math site.

  1. May 24, 2022Wayne Oldford elected Fellow of the American Statistical Association (ASA)
    Wayne Oldford

    Congratulations to Professor Wayne Oldford of the Department of Statistics and Actuarial Science at University of Waterloo on being elected a Fellow of the American Statistical Association (ASA). The citation reads: "For major contributions to the development of statistical programming environments and visualization, for developing problem-based learning (PPDAC) approaches to teaching, for exceptional service, and for co-founding AISTATS, a conference in its 38th year of operation."

    The designation of ASA Fellow has been a significant honor for nearly 100 years. Under ASA bylaws, the Committee on Fellows can elect up to one-third of one percent of the total association membership as fellows each year.

    The 2022 class of ASA Fellows can be viewed on the amstat.org website.

  2. May 10, 2022Professor Matthias Schonlau wins prestigious Humboldt Prize
    Matthias Schonlau

    A professor in the Department of Statistics and Actuarial Science has been named a winner of the Humboldt Research Award, better known as the Humboldt Prize, a lifetime achievement award for internationally renowned scientists.

    Dr. Matthias Schonlau is only the second Canadian statistician to have won the prestigious award, after Christian Genest of McGill University.

  3. May 5, 2022Ruodu Wang Named Fellow of IMS
    Ruodu Wang

    Ruodu Wang, University Research Chair and Sunlife Research Fellow in the Department of Statistics and Actuarial Science at University of Waterloo, has been named Fellow of the Institute of Mathematical Statistics (IMS).

    Dr. Wang received the award for significant contributions to statistics and applied probability in operations research, risk management, and actuarial science; and highly influential interdisciplinary research bridging statistics and probability.

    Founded in 1935, the IMS is one of the world’s premier societies in statistics and probability. Each Fellow nominee is assessed by a committee of their peers and the election is based on “demonstrated distinction in research in statistics or probability, by publication of independent work of merit”. This qualification may be partly or wholly waived in the case of either a candidate of well-established leadership whose contribution to the field of statistics or probability other than original research shall be judged of equal value; or a candidate of well-established leadership in the application of statistics or probability, whose work has contributed greatly to the utility of and the appreciation of these areas.

    The list of the 2022 class of IMS Fellows can be found at the IMS website.

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  1. June 3, 2022Seminar by Frank Riedel

    Please Note: This seminar will be given online.

    Actuarial Science and Financial Mathematics seminar series

    Frank Riedel
    Bielefeld University

    Link to join seminar: Hosted on Zoom

    Trading Models

  2. July 5 to 10, 2022International Conference on Robust Statistics
    ICORS 2022

All upcoming events

Meet our people

Mary Thompson

Mary Thompson

Distinguished Professor Emerita

Contact Information:
Mary Thompson

Research interests

Professor Thompson works primarily in survey methodology and sampling theory. Her book Theory of Sample Surveys describes the mathematical and foundational theory in detail; it also contains a systematic approach to using estimating functions in surveys, and a thorough discussion (with examples) of the role of the sampling design when survey data are used for analytic purposes.

Estimation for stochastic processes has been another theme of her research. These twothemes come together in aspects of inference from complex longitudinal surveys. Issues in the design of longitudinal surveys to support causal inference are central to work on the International Tobacco Control Survey, with which Professor Thompson has been involved since 2002. She studies the application of multilevel models and longitudinal models with time-varying covariates to complex survey data, including the best ways to adapt the estimating functions systems for use with survey weights, and the use of resampling techniques to provide accurate interval estimates.

She is also currently collaborating on projects in survival and multistate models and the design of behavioural interventions on random networks.