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For two graduate students at Waterloo, unraveling the mysteries of the human genome requires more than just science. These two students, both given a departmental research presentation award by the Department of Statistics and Actuarial Science, are passionate about bringing their skills to the field of biostatistics.

Learn more about the research of Qihuang Zhang and Ce Yang.

Thursday, April 23, 2020

Freedom to explore

“Waterloo is a place where students have the opportunity to try so many different things.”

Many students feel pressured to decide on a defined career path early on in their undergraduate career. Joy Zhang isn’t one of them. The second-year Financial Analysis & Risk Management (FARM) student is embracing the opportunity to explore her options in her time at the University of Waterloo.

As global COVID-19 lockdowns have us sitting through days of videoconferences, it becomes clear that paying attention online is hard work.

In two new papers, researchers from the University of Waterloo and Microsoft Research explore people’s attentiveness in videoconferences to understand how to make the online meetings more comfortable and effective.

Waterloo’s Department of Applied Mathematics PhD candidate James Petrie is among a group of volunteers who have combined their knowledge to develop Covid Watch, an app that uses Bluetooth to detect when users are in proximity to each other and alerts them anonymously if they were in contact with someone later confirmed to have COVID-19. The app uses privacy-preserving measures so that no one, including the government, can track down who exposed whom.

The following was excerpted from an article published on the website of CS-Can/Info-Can, the nation’s professional society dedicated to representing all aspects of computer science and the interests of the discipline to Canadians.

It’s not about building technology; it’s about finding a solution to an existing problem for the research group of Ihab Ilyas, a professor at the Cheriton School of Computer Science.

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.