Welcome to the Department of Statistics and Actuarial Science

The Department of Statistics and Actuarial Science is among the top academic units for statistical and actuarial science in the world and is home to more than 40 research active full-time faculty working in diverse and exciting areas. The Department is also home to over 900 undergraduate students and about 150 graduate students in programs including Actuarial Science, Biostatistics, Quantitative Finance, Statistics, and Statistics-Computing.

We are located on University of Waterloo main campus, which is located at the heart of Canada's Technology Triangle about 100 kilometers west of Toronto.

  1. June 15, 2018Congratulations to Professor Richard J. Cook, Gold Medal winner from the Statistical Society of CanadaRichard Cook

    ​The 2017 recipient of the Gold Medal of the Statistical Society of Canada (SSC) is Professor Richard Cook. The Gold Medal is awarded to a person who has made outstanding contributions to statistics, or to probability, either to mathematical developments or in applied work. It is intended to honour current leaders in their field.

      
    To learn more about Richard's accomplishments, please visit the SSC website.

    "To Richard John Cook, in recognition of his outstanding contributions to statistical theory and methodology, particularly in the areas of event history analysis, analysis of longitudinal data, and design and analysis of clinical trials; for exceptional accomplishments in collaborative medical research; for his outstanding record as a teacher and mentor; and for his leadership in biostatistics in Canada and abroad."

    SSc Award citation

     

  2. July 12, 2017Samuel Eckler Medal in Actuarial ScienceAward winner Kieran Hendrickson-Gracie

    This prize was established to recognize the contribution of Samuel Eckler to the actuarial profession and is provided by Eckler Partners. The medal, which is cast in gold, is awarded each year to the outstanding graduating student of the Honours Actuarial Science Program.

    This year’s recipient is Kieran Hendrickson-Gracie who not only graduated as the top Actuarial Science major, but also has completed the five preliminary Society of Actuaries (SOA) exams, and earned three Cherry awards, in STAT 443, STAT 430, and STAT 431.


    Kieran's brother Aaron Hendrickson-Gracie, was awarded the Samuel Eckler Medal in 2013.

  3. July 5, 2017Congratulations to Gord Willmot for being appointed as an Editor of Insurance: Mathematics and EconomicsGord Willmot

    The Department of Statistics and Actuarial Science would like to congratulate Professor Gord Willmot for being appointed as one of the five Editors of Insurance: Mathematics and Economics (IME). 

    This is the first major overhaul of the IME Editorial staff since the inception of IME in 1982.

    The IME is widely viewed as the top academic actuarial journal in the world. As such, the department is very proud that Prof. Willmot has achieved this honour.  

    "I am very honoured to have been asked to fulfill this role. I also believe that it is an honour for our University of Waterloo actuarial group, which further enhances our already strong reputation." Gord stated.

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  1. Sep. 14, 2017Department Seminar by Jianwen Cai, University of North Carolina

    Title and Abstract TBD

  2. Sep. 21, 2017Department Seminar by Gary Chan, University of Washington

    Title and Abstract TBD

  3. Sep. 28, 2017David Sprott Distinguished Lecture by Susan Murphy, University of Michigan, on September 28, 2017 Susan Murphy

    Challenges in Developing Learning Algorithms to Personalize Treatment in Real Time

    A formidable challenge in designing sequential treatments is to  determine when and in which context it is best to deliver treatments.  Consider treatment for individuals struggling with chronic health conditions.  Operationally designing the sequential treatments involves the construction of decision rules that input current context of an individual and output a recommended treatment.   That is, the treatment is adapted to the individual's context; the context may include  current health status, current level of social support and current level of adherence for example.  Data sets on individuals with records of time-varying context and treatment delivery can be used to inform the construction of the decision rules.    There is much interest in personalizing the decision rules, particularly in real time as the individual experiences sequences of treatment.   Here we discuss our work in designing  online "bandit" learning algorithms for use in personalizing mobile health interventions. 

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Meet our people

Christiane Lemieux

Christiane Lemieux

Professor

Contact Information:
Christiane Lemieux

Christiane Lemieux's personal website

Research interests

Professor Lemieux is interested in quasi-Monte Carlo methods and their applications. These methods can be thought of as deterministic versions of the well-known and highly used Monte Carlo method. They are designed to improve upon the performance of Monte Carlo by replacing random sampling by a more uniform sampling mechanism based on low-discrepancy point sets. A major goal of Professor Lemieux's research is to improve the applicability of quasi-Monte Carlo methods to a wide variety of practical problems.