Toronto’s AI-focused Vector Institute has announced five new faculty members from across Canada.
The new faculty brings the Vector Institute expertise in machine learning, computational biology, computer vision, computer graphics, neural networks, clustering, computer security, privacy and statistical and computational machine learning.
“Vector has become a beacon for top AI talent seeking opportunities to collaborate with peers, to have the flexibility to conduct pure or applied research, teach students, or work with industry, as well as launch a new startup company,” said Garth Gibson, president and CEO of the Vector Institute. “Vector offers a unique structure that bridges academia, industry, and institutions and presents researchers with opportunities to work with existing data sets to solve real-world challenges. The new Vector Faculty Members announced today will join a highly-accomplished team of world-class researchers currently at Vector Institute, and we are excited to see what they will accomplish together.”
The new faculty members include:
Since its launch in 2017, the Vector Institute has grown into a community of more than 240 researchers, including faculty, postdocs, students and affiliates. Over the last year, the Institute has published over 100 papers.