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Linda Wang, a SYDE Masters student, was featured in a research story about rethinking research during the pandemic that highlights her research in artificial intelligence and computer vision.
When she started her engineering master’s degree in 2018, Linda Wang had no idea her research would be used to help detect a potentially deadly global virus less than two years later.
After COVID-19 became a pandemic last spring, Wang and her graduate supervisor Alexander Wong, as well as DarwinAI, a Canadian artificial intelligence startup with strong ties to the University of Waterloo, developed technology that may be used to screen and assess the severity of infected patients.
The open-source tool, dubbed COVID-Net, is designed to automatically screen COVID-19 infections from chest X-rays and help guide medical professionals on how seriously the infection has taken hold.
Wang, who graduates this week with her master’s degree in systems design engineering, built one of the first neural networks to predict if a person’s X-ray contains COVID and how far has the disease progressed.
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