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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. Apr. 8, 2020Richard Cook appointed University Professor
    Richard J. Cook

    The University of Waterloo appointed Professor Richard Cook a “University Professor” in recognition of his outstanding research contributions in the field of Biostatistics. Waterloo’s designation of University Professor acknowledges exceptional scholarly achievement and international pre-eminence.

  2. Apr. 6, 2020Yilin Chen wins 2020 Huawei Prize for Best Research Paper

    Statistics and Actuarial Science PhD candidate Yilin Chen is one of two students to claim the 2020 Huawei Prize for Best Research paper by a Mathematics Graduate Student. The $4,000 prize affirms the value of Chen’s efforts to establish a framework for analyzing nonprobability survey samples in her winning paper: Doubly Robust Interference with Nonprobability Survey Samples.

  3. Mar. 12, 2020Roll up the Rim: How COVID-19 has changed the contest — and maybe your odds of winning
    Slot machine with Tim Hortons roll-up-the-rim cups By adding a ‘digital roll’ to its iconic game, Tim Hortons’ Roll up the Rim contest now has some statistical similarities to slot machines.
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Meet our people

Alexander Schied

Alexander Schied

Professor

Contact Information: 

Alexander Schied

Alex Schied's Google Scholar profile

Research Interests

Alexander Schied’s research is in probability theory and stochastic analysis with applications to mathematical finance and economics. Recent research topics include risk measurement and risk management, modeling and optimization in finance and economics, robustness and model uncertainty, and issues arising from market microstructure and price impact. Together with Hans Föllmer he co-authored the book Stochastic Finance: An Introduction in Discrete Time. He holds a doctoral degree in mathematics from the University of Bonn.