Vector Institute
Alexander Ryabchenko is currently a Research Assistant at the Vector Institute, continuing a summer research project, and has held the position since May 2023. Prior to this, Alexander contributed as a Research Intern at the same institute, focusing on Bayes rule from a regret theoretic perspective and sequential anomaly detection under the supervision of Dr. Daniel Roy. At the University of Toronto, since May 2022, Alexander has been involved in research on graphical learning procedures with Dr. Stanislav Volgushev and Dr. Michaël Lalancette. Additional experience includes a role as a Visiting Researcher at Sunnybrook, where Alexander collaborated on a neural network approach for murine vertebral segmentation to enhance image segmentation techniques for cancer and musculoskeletal conditions. Alexander is pursuing an Honours Bachelor of Science in Computer Science, Mathematics, and Statistics at the University of Toronto, expected to graduate in June 2025.
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Vector Institute
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Vector Institute will be a leader in the transformative field of artificial intelligence, excelling in machine and deep learning — an area of scientific, academic, and commercial endeavor that will shape our world over the next generation. We are building on Canada’s outstanding pool of globally recognized AI expertise by training, attracting andretaining more top researchers who want to lead the world in machine learning and deep learning research, while having the flexibility to work on commercial applications with companies or in their own startups.