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 about 50 research active full-time faculty working in diverse and exciting areas. The Department is also home to around 1000 undergraduate students and about 175 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 kilometres west of Toronto.

Master of Actuarial Science (MACTSC) 10th anniversary

Master of Actuarial Science (MActSc) 10th Anniversary.

FRIDAY, MAY 31, 2019 — 6:00 PM in Waterloo, ON. 

Registration deadline is Friday, May 10, 2019

  1. May 15, 2019Survey Research Centre (SRC) is hosting a Data Analysis WorkshopSurvey Research Centre logo

    The SRC's workshop is titled Survey Research Data Analysis: 101 and Beyond (PDF)

    This event will take place on Wednesday May 15 to Thursday May 16, 2019 in Mathematics 3 (M3). 

    This workshop provides a crash course on using statistical methods and software when conducting data analysis in survey research. There will be a hands-on opportunity to conduct basic data analysis using SAS software. This workshop is presented by Dr. Christian Boudreau, Co-director of the SRC, along with Grace Li from the International Tobacco Control (ITC) Project.

    More information, including registration fee, can be located on the SRC website

    Please register by emailing Janice Lam.

  2. May 13, 2019Celebrating 3rd annual DataFest competition at the University of WaterlooDatafest 2019

    50 undergraduate students took part analyzing and applying data in the 48 hour on campus 2019 ASA DataFest competition earlier this month. Globally, over 2,000 students partake in this competition at several of the most prestigious colleges and universities including the University of Waterloo.

  3. May 10, 2019Actuarial Short Course XI - Financial Engineering IGroup photo of the Jakarta course

    On April 12-15, 2019, the Risk Management, Economic Sustainability, and Actuarial Science Development in Indonesia (READI) Project, funded by Global Affairs Canada, conducted a short course on “Financial Engineering I” in Jakarta, Indonesia. The training was the 11 of the series of short course held in collaboration with the University of Waterloo in which the Department of Statistics and Actuarial Science faculty members have led the teaching on all short courses. Prof. Ken Seng Tan, PhD, ASA, CERA, and Sunlife Fellowship in International Actuarial Science, was the instructor of the four days intensive training program. READI also invited Steven Chen, FSA, FCIA, CFA, MAA, an alumni of the University of Waterloo, as the guest speaker to provide a practitioners’ perspective on Financial Engineering.

    Read the full article and learn more about the READI project on their website.

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  1. May 31, 2019Department seminar by Dr. Jonathan Yu-Meng Li, University of OttawaDepartment Logo

    Worst-case risk measures and distributionally robust optimization

    Distributional ambiguity refers to the situation where the probability distribution of uncertain outcomes is unknown. The question of how to account for distributional ambiguity has been of central interest in risk management, and more generally, many fields involving decision making under uncertainty. In this talk, we present a general framework of risk minimization based on distortion risk measures (also known as dual utility) and show how the worst-case risk can be evaluated when only the support and moments are known for the underlying distribution. We also show that the problem of minimizing the worst-case risk, also known as distributionally robust optimization (DRO) problem, can be solved efficiently in large scale for a large class of decision problems including portfolio optimization, production and transportation planning, among many others. Worst-case distributions, i.e. distributions attaining the worst-case risk, are characterized, which offer useful intuition about the worst-case scenarios. 

  2. May 31, 2019Master of Actuarial Science (MACTSC) 10th AnniversaryMACTSC 10th Anniversary banner

    In 2019, the Master of Actuarial Science (MActSc) professional degree program will be celebrating 10 wonderful years at the University of Waterloo. 

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Meet our people

Joel Dubin

Joel Dubin

Associate Professor

Contact Information:
Joel Dubin

​Health Data Science Lab (HDSL) Lead:

HDSL Website 

Research interests

My primary research interest is in the area of methodological development in longitudinal data analysis, including for multivariate longitudinal data, where more than one outcome, (e.g., systolic and diastolic blood pressure) are each followed for individuals over time. Methods pursued for this type of data include the correlation of different longitudinal outcomes over time using curve-based methods, and incorporating lags and derivatives of the curves. I am also interested in change point and latent response models for longitudinal data, as well as prediction models, including the consideration of similarity to improve prediction accuracy.