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Thursday, April 15, 2021

The story behind the data

As a master’s student, Chris Salahub completed a project focused on reducing the risk for cyclists on the busy streets of Zurich. His passion for leveraging data to solve real-world problems is what drew him back to the Faculty of Mathematics, where he previously earned a bachelor’s degree, to pursue a PhD in statistics.

Thursday, March 4, 2021

The power of curiosity

“I like to think I’m a curious person,” said Jennifer Haid (BMath’04), a native of the Waterloo Region. When she learned about Waterloo’s Math Day from her high school math teacher, she decided to attend in hopes of learning about a career path that would leverage her aptitude for mathematics in the business world. “I remember watching a professor deliver a presentation about actuarial science and thinking two things: It was challenging, and I could do it,” she shared. 

Thursday, February 11, 2021

The Right Direction

Katia Naccarato has never shied away from exploring an unfamiliar path, hitting a dead end, and trying a different one. Before she enrolled in the Master of Actuarial Science (MActSc) program at the Faculty of Mathematics, she was laser-focused on pursuing a career in medicine. Her current trajectory looks nothing like she expected, but she’s confident she’s heading in the right direction.

Thursday, February 4, 2021

Laying a foundation

Samantha Wallis’s enthusiasm for statistics is matched only by her longtime passion for visual arts. As she considers her path forward after graduating with a degree in mathematics, Wallis thinks about how to meld her two interests into a single career. While she hasn’t landed on a definitive answer, she has a strong hunch where she will go next.

Thursday, November 5, 2020

Asking the right questions

Eli Margolis learned to appreciate math at a young age. “There was always a right and wrong answer, always a correct way of figuring something out if you searched hard enough,” she reflected.

University of Waterloo Faculty to Mathematics researchers have developed a new method that enables large insurers to reduce the time spent estimating the financial liabilities of their portfolios from days to hours while achieving high accuracy.

A study details the new method which significantly reduces computational time, but still estimates the financial liability of variable annuity portfolios accurately for business purposes.