Researchers have developed a method that can identify future COVID-19-like viruses within minutes, which could allow for quicker development and deployment of vaccines and treatments.
In a new study, researchers at the University of Waterloo used a machine learning-based alignment-free approach to accurately and rapidly identify and classify COVID-19 virus genome’s relationship with other viruses.
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.
“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.