The Department of Statistics and Actuarial Science is a top-tier academic unit among statistical and actuarial science globally. Our community is engaged in topics such as actuarial science, biostatistics, data science, quantitative finance, statistics, & statistics-computing. Our department is home to:
60+full-time faculty researching diverse and exciting areas
1000+undergraduate students from around the world
175+graduate students in Master, Doctoral, and professional programs
The Department of Statistics and Actuarial Science congratulates professor Nathaniel Stevens as being named the winner of the 2023 ASQ Feigenbaum Medal. This achievement is awarded for the "outstanding characteristics of leadership, professionalism, and potential in the field of quality and also whose work has been or, will become of distinct benefit to mankind." (ASQ)
The citation reads: "For outstanding contributions to the development and application of statistics in business and industry, to the mentoring of undergraduate and graduate students, and to the service of the broad Quality community."
The medal will be presented in Philadelphia at 2023 ASQ's World Conference on Quality and Improvement.
The Department of Statistics and Actuarial Science congratulates professor Stefan Steiner as being named the winner of the 2023 ASQ Shewhart Medal. This achievement is awarded for the "outstanding technical contributions and leadership in the field of modern quality control and improvement, especially through the development of theory, principles, techniques, and successful applications in the area of quality." (ASQ)
The citation reads: "For his outstanding leadership in the field of industrial statistics; for his innovation and technical contributions in measurement system analysis, process monitoring, statistical engineering, and variation reduction; and for his dedicated promotion of quality improvement in business, industry, and healthcare."
The medal will be presented in Philadelphia at 2023 ASQ's World Conference on Quality and Improvement.
More than a hundred students spent the weekend working in teams learning to detect fraud as part of the inaugural Scotiabank Data Science Discovery Days competition.
The event, which took place virtually and in Mathematics 3 from January 20th to January 22nd, invited teams of students from across campus to analyze large amounts of data in a project that mimics the real world work they would do in data science careers.
“Scotiabank and the University of Waterloo share a passion for innovation,” says Yannick Lallement, Scotiabank’s Vice President for Corporate Functions Analytics and AI/ML Solutions. “We are pleased to partner with UW on programs that encourage students to engage with applied data and analytics. The enthusiasm, creativity, and technical skills that UW brought to this challenge impressed me a great deal.”
Read the full story on the Math Faculty website.
Please Note: This seminar will be given in person.
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Statistics and Biostatistics seminar series Mateen Shaikh Room: M3 3127 |
Some Methods of Identifying Optimal Parametric Constraints
Please Note: This seminar will be given in person.
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CANSSI event presented by the Statistics and Biostatistics seminar series Alison Burnham Room: M3 3127 |
Using Data Science to Optimize Business – Opportunities & Challenges
Contact Information:
Robert Brown
Research interests
Rob’s research focus is the design of financial security programs in times of rapidly shifting demographics. In his 39 years at Waterloo, Rob wrote seven books and over 50 refereed papers.
