March 25, 2019
The Vector Institute congratulates the newest members of its research community on being accepted into the 2019 Vector Institute Postgraduate Affiliate Program. Established in 2018, the program is intended to promote engagement and collaborations among researchers who are early in their careers, with the broader artificial intelligence (AI) community.
Vector’s new Postgraduate Affiliates (consisting of graduate students or postdoctoral fellows) will join a vibrant community of innovative problem solvers, bringing with them expertise in cancer genomics, computer vision, hardware, medical imaging, nanobiophysics, optimization, radiation, smart home systems, robotics and quantum physics. They hail from a broad cross-section of Ontario universities and institutions including the Ontario Institute for Cancer Research, Princess Margaret Cancer Centre, Ryerson University, Hospital for Sick Children, Toronto Rehabilitation Institute, University of Ontario Institute of Technology (UOIT), University of Toronto, University of Waterloo and Western University.
Vector received an overwhelming response to our call for applications, and competition for the limited number of positions was fierce. Applicants were evaluated and selected according to the strength of their past research contributions and the alignment of their interests with Vector’s vision, mission, and research strengths. The acceptance rate for the 2019 program was 8.6%, demonstrating the high caliber of researchers within the incoming cohort.
The new Postgraduate Affiliates will work alongside continuing members of the 2018 program cohort. The Vector Institute is also excited to celebrate the successes of graduating members of the 2018 Postgraduate Affiliates Program who have gone on to accept positions at leading tech companies in Canada such as RBC Borealis, Thales and Intel, as well as faculty/scientist positions at McMaster University, the Toronto Rehabilitation Institute and the University of Manitoba.
Welcome to the 2019 Vector Institute Postgraduate Affiliates
Anastasia Razdaibiedina, University of Toronto
Anjali Silva, Princess Margaret Cancer Centre – University Health Network
Anna Golubeva, University of Waterloo – Perimeter Institute
Buser Say, University of Toronto
Kyle Mills, University of Ontario Institute of Technology
Lee Clement, University of Toronto
Lydia Y. Liu, Ontario Institute for Cancer Research
Lina Tran, The Hospital for Sick Children
Marie-Julie Favé, Ontario Institute for Cancer Research
Martin Magill, University of Ontario Institute of Technology
Matthew Giamou, University of Toronto
Matthew J. S. Beach, University of Waterloo – Perimeter Institute
Md Amirul Islam, Ryerson University
Michael Ridley, Western University
Muhammad Raisul Alam, University of Toronto
Rafid Mahmood, University of Toronto
Sayeh Sharifymoghaddam, University of Toronto
Xingyu Li, University of Toronto
Zhaleh Safikhani, Princess Margaret Cancer Centre – University Health Network
About Research at Vector Institute:
Since its launch in 2017, the Vector Institute has grown into a community of more than 260 researchers, including faculty, postdocs, students and affiliates. Over the last year, they have published more than 100 papers, many featured in top machine learning conferences and journals. Vector researchers often receive top awards for their scientific contributions and have been named as top innovators on Canada’s Top 40 Under 40 list and by MIT Technology Review. Together, they are working to achieve Vector’s vision to drive excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians.