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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. Oct. 21, 2020Congratulations Wenyuan Li, Yechao Meng, and Jessica Dang on being awarded as the 2020-2021 James C. Hickman Scholars
    Wenyuan Li, Yechao Meng, and Jessica Dang

    The Department of Statistics and Actuarial Science would like to congratulate Wenyuan Li and Yechao Meng as being two of the three new recipients of The Society of Actuaries (SOA) James C. Hickman Scholar for 2020-2021, and to Ou (Jessica) Dang for having her stipend renewed. 

    To learn more, read the full article on The SOA site.

  2. Oct. 19, 2020Spotlighting the accomplishment of an exceptional Master's student
    Grace Tompkins

    When Grace Tompkins attended Waterloo’s Grad Visit Day in 2019, she was presented with an opportunity to combine her interests in public health with her research in mathematics.

  3. Oct. 14, 2020Investing in longevity of research
    Johnny Li

    Longevity risk is an essential concept for life insurance companies and reinsurance companies. A deep understanding of the risk is crucial, as an underestimation of longevity can seriously affect the financial healthiness of pension plans and annuity funds.

Read all news
  1. Oct. 29, 2020Department Seminar by Robin Gong

    Please Note: This seminar will be given online.

    Statistics and Biostatistics Seminar Series

    Robin Gong, Professor
    Rutgers University

    Link to join seminar: Hosted on Webex.

    Towards Good Statistical Inference from Differentially Private Data

  2. Oct. 30, 2020Department Seminar by Roger Laeven

    Please Note: This seminar will be given online.

    Actuarial Science and Financial Mathematics Seminar Series

    Roger Laeven, Professor
    University of Amsterdam

    Link to join seminar: Hosted on Webex.

    Robust Multiple Stopping

  3. Nov. 4, 2020Department Seminar by Clément Hongler

    Please Note: This seminar will be given online.

    Probability Seminar Series

    Clément Hongler, Professor

    École polytechnique fédérale de Lausanne

    Link to join seminar: TBA

    Neural Tangent Kernel and Applications.

All upcoming events

Meet our people

Wayne Oldford

Wayne Oldford

Professor

Contact Information:
Wayne Oldford

Wayne Oldford's personal website


 

Research interests

Statistical reasoning, exploratory data analysis, data visualization, and the development of interactive computational environments that support these activities, comprise the broad areas of Professor Oldford's research interests.