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. Sep. 19, 2022Department of Statistics and Actuarial Science is pleased to welcome Mikko Pakkanen as an Associate Professor
    Mikko Pakkanen

    PAKKANEN, Mikko (MSc (Mathematics), 2006, University of Helsinki; PhD (Applied Mathematics), 2010, University of Helsinki) will be joining the Department of Statistics and Actuarial Science on September 19, 2022 as an Associate Professor. Before coming to Waterloo, Mikko held academic appointments at Imperial College London, most recently as a Senior Lecturer. At Imperial, he served also as Co-Director of the MSc in Mathematics and Finance and as Co-Director of the EPSRC Centre of Doctoral Training in Financial Computing & Analytics. Mikko's research is focused on data science, stochastic processes, and quantitative finance. His specific research interests include statistical modeling of high frequency financial data, volatility modeling, limit theorems for stochastic processes, and machine learning in finance. Apart from financial applications, Mikko has recently started working on stochastic modeling in epidemiology and is keen to expand his research activity in this area.

  2. Aug. 29, 2022Fangya Mao awarded Student Conference Award at the 43rd Meeting of the International Society of Clinical Biostatistics
    Fangya Mao

    Congratulations Dr. Fangya Mao for being recognized with a Student Conference Award at the 43rd Meeting of the International Society of Clinical Biostatistics Meeting in Newcastle, UK. Fangya's presentation on Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis on August 23rd involved the use of mixture models for fitting clustered failure time processes under intermittent observation. Fangya completed her doctoral program in the spring of 2022 under the supervision of Richard Cook. In September she starts a Research Fellowship at the Biostatistics Branch of the National Cancer Institute,  National Institutes of Health.

    Learn more about the ISCB on their website.

  3. Aug. 25, 2022Math Alum Joy Jiang receives 40 under 40 Public Health Catalyst Award
    Joy Jiang

    Mathematics Statistics alumni Joy Jiang (PhD ‘18) has been named as one of the inaugural 40 Under 40 Public Health Catalyst Award recipients. The Boston Congress of Public Health recognized these 40 individuals as representatives of the next generation of leaders, entrepreneurs, researchers, scientists, activists, intellectual provocateurs, authors, and directors who inspire and catalyze a more just and equitable world.

    Jiang was excited to be recognized, saying, “I’m extremely honoured to have received the award this year. This is a huge recognition for my work on bridging statistical methods with breast cancer research and big support to advancing method developments in women’s health. I look forward to leveraging this platform to develop and disseminate innovative and rigorous statistical methods leading to new pathways that can be targeted in breast cancer prevention and intervention trials to expand capacity for precision prevention.”

    Learn more on the Math Faculty website.

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  1. Sep. 29, 2022Seminar by Yang Feng

    Please Note: This seminar will be given in person.

    Statistics and Biostatistics seminar series

    Yang Feng
    New York University

    Room: M3 3127

    Transfer Learning under High-dimensional Generalized Linear Models

  2. Oct. 5, 2022Seminar by Liangliang Wang

    Please Note: This seminar will be given in person.

    Statistics and Biostatistics seminar series

    Liangliang Wang
    Simon Fraser University

    Room: M3 3127


  3. Oct. 7, 2022Seminar by Zhiwei Tong

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

    Actuarial Science and Financial Mathematics seminar series

    Zhiwei Tong
    University of Iowa

    Room: M3 3127

    The Gradient Allocation Principle based on the Higher Moment Risk Measure

All upcoming events

Meet our people

Photo of Greg Rice

Greg Rice

Associate Professor

Contact Information:
Greg Rice

Research interests

Greg’s current research interests are: Functional Data Analysis, Time Series Analysis, Change Point Analysis, Panel Data, and Central Limit Theory for Stationary Processes.