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. 1, 2022Department of Statistics and Actuarial Science is pleased to welcome Lisa Gao as an Assistant Professor
    Lisa Gao

    GAO, Lisa (BMath (Actuarial Science, Statistics), 2016, University of Waterloo; PhD (Actuarial Science, Risk Management, and Insurance), 2022, University of Wisconsin-Madison), will be joining the Department of Statistics and Actuarial Science on August 1, 2022 as an Assistant Professor. Lisa's research interests are in non-life insurance analytics problems involving predictive and dependence modeling. Her current work focuses on spatiotemporal modeling of insurance claims arising from weather-related property damage. As technological advances increase the availability and granularity of data, Lisa's research highlights the potential for analytics to support key operational areas in non-life insurance.

  2. July 1, 2022The Department of Statistics and Actuarial Science is pleased to welcome Zelalem Negeri as an Assistant Professor
    Zelalem Negeri

    NEGERI, Zelalem [BSc. (Statistics), 2011, Addis Ababa University; MSc. (Statistics), 2014, Addis Ababa University; MSc. (Statistics), 2015, McMaster University; Ph.D. (Statistics), 2019, McMaster University] has joined the Department of Statistics and Actuarial Science on July 1, 2022, as an Assistant Professor. Zelalem was a Post-Doctoral Fellow at McGill University’s Department of Epidemiology, Biostatistics and Occupational Health from 2019 to 2021, and worked as a Biostatistician at Veristat, LLC, a global clinical research organization before joining the University of Waterloo. His research interest focuses on developing and validating statistical methods for applications in public health research, with an emphasis on both aggregate data and individual participant data meta-analyses of diagnostic and screening test accuracy studies.

  3. June 30, 2022Congratulations Yue (Henry) Weng, winner of the 2022 Samuel Eckler Medal in Actuarial Science
    Yue (Henry) Weng, Eckler winner

    The Department of Statistics and Actuarial Science is pleased to announce Yue (Henry) Weng as the winner of the Samuel Eckler Medal in Actuarial Science. Henry graduated in Spring 2022 with a triple major in Actuarial Science, Statistics, and Combinatorics & Optimization.

    Award description: 

    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 in Honours Actuarial Science.

    "Henry is one of the most talented students I have taught at the University of Waterloo. His analytical skills are amazing. A well-deserved medal for him."

    Jun Cai, Professor, Department of Statistics and Actuarial Science

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  1. Sep. 14, 2022Seminar by Yanyuan Ma

    Please Note: This seminar will be given in person.

    Statistics and Biostatistics seminar series

    Yanyuan Ma
    PennState University

    Room: M3 3127


  2. Sep. 22, 2022David Sprott Distinguished Lecture by Stephen Senn
    Stephen Senn

    Please Note: This seminar will be given online.

    Distinguished Lecture Series

    Stephen Senn
    Stanford University

    Whatever Happened to Design-Based Inference?

    What exactly should we think about appropriate analyses for designed experiments and why? If conditional inference trumps marginal inference, why should we care about randomisation? Isn’t everything just modelling? The Rothamsted School held that design matters. Taking an example of applying John Nelder’s general balance approach to a notorious problem, Lord’s paradox, I shall show that there may be some lessons for two fashionable topics: causal analysis and big data. I shall conclude that if we want not only to make good estimates but estimate how good our estimates are, design does matter.

  3. Sep. 23, 2022Seminar by Ajay Subramanian

    Please Note: This seminar will be given in-person.

    Actuarial Science and Financial Mathematics seminar series

    Ajay Subramanian
    Georgia State University

    Room: M3 3127


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Meet our people

Joel Dubin

Joel Dubin


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.