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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. Aug. 23, 2021Charmaine Dean appointed Chair of NSERC Council
    Charmaine Dean

    Vice-President, Research and International Charmaine Dean has been elected the Vice-President of the Natural Sciences and Engineering Research Council (NSERC) and Chair of NSERC Council. The roles of Chair of Council and Vice-President of NSERC are concurrent leadership roles at NSERC. NSERC Council is composed of its president and up to 18 other members appointed from the public and private sectors.

    View the full news item on the Daily Bulletin

  2. Aug. 23, 2021Cecilia Cotton named among winners of Faculty of Mathematics 2021 Awards for Distinction in Teaching
    Cecilia Cotton

    Cecilia Cotton from the Department of Statistics and Actuarial Sciences has been named a winner of this year’s Awards for Distinction in Teaching from the Faculty of Mathematics.

  3. Aug. 9, 2021Ruodu Wang first recipient of the SOA Actuarial Science Early Career Award
    Ruodu Wang

    Congratulations to Professor Ruodu Wang for being the first recipient of the Society of Actuaries (SOA) Actuarial Science Early Career Award. 

    There have been few major international awards for researchers in Actuarial Science in recognition of their overarching scholarly achievements, as opposed to individual paper awards. To fill this gap, and to facilitate excellence and recognize leadership in actuarial research, the SOA has launched the Early Career Award this year (2021), which is expected to be awarded annually to one scholar within 10 years of independent academic career in Actuarial Science. For more details on the creation of this award, see the SOA Education and Research Section Publications.

    The award selection committee is made up of internationally renowned scholars and thought leaders from the industry. In the spirit of academic freedom, the committee’s selection of recipients will be independent of SOA. This year, the first winner of the award is Prof. Ruodu Wang at the University of Waterloo, in recognition of his exceptional scientific achievements and contributions to risk measures, dependence modeling, risk sharing and their practical implications on insurance and banking regulation.  

    Prof. Ruodu Wang joined the Department of Statistics and Actuarial Science at Waterloo in 2012 and is currently Associate Professor, University Research Chair, and Sun Life Fellow. He is also one of the two inaugural winners of the Golden Jubilee Research Excellence Award from the Faculty of Mathematics in 2017. In addition to scientific advances in Actuarial Science, Prof. Wang has also made many contributions to Statistics, Quantitative Finance, and Operations Research.

    The SOA is a global professional organization for actuaries with more than 30,000 professional actuaries as active members. SOA offers professional designations for actuaries via a rigorous examination system, and it publishes the North American Actuarial Journal, one of the top academic journals in Actuarial Science.

    To learn more about this award, visit the SOA award announcement.

Read all news
  1. Sep. 23, 2021Department seminar by Haoda Fu

    Please Note: This seminar will be given online.

    Statistics & Biostatistics seminar series

    Haoda Fu
    Eli Lilly and Company

    Link to join seminar: Hosted on Zoom

    Our Recent Development on Cost Constraint Machine Learning Models

  2. Sep. 24, 2021Department seminar by Christian Y. Robert

    Please Note: This seminar will be given online.

    Actuarial Science and Financial Mathematics seminar series

    Christian Y. Robert
    École nationale de la statistique et de l'administration économique Paris (ENSAE)

    Link to join seminar: Hosted on Zoom

    Conditional mean risk sharing in the individual model for dependent losses

  3. Sep. 30, 2021Department seminar by Shu Yang

    Please Note: This seminar will be given online.

    Statistics & Biostatistics seminar series

    Shu Yang
    North Carolina State University (NCSU)

    Link to join seminar: Hosted on Zoom

    TBA

All upcoming events

Meet our people

Jun Cai

Jun Cai

Professor

Contact Information:
Jun Cai

Jun Cai's personal website

Research interests

Professor Jun Cai's research interests are in the fields of actuarial science, applied probability, and mathematical finance,  with focuses currently on quantitative risk management for insurance and finance,  insurance decision problems,  dependence modelling,  and risk analysis with model uncertainty.