Vector Institute
Andrew Magnuson is an emerging professional in the field of machine intelligence with a robust background in research and engineering. Currently serving as a Solutions Architect Intern at NVIDIA and an Undergraduate Student Researcher at the Vector Institute, Andrew is focused on multimodal biological reasoning models and trustworthy machine learning. As the Lead Machine Learning Engineer at AI Warehouse, noteworthy achievements include reaching over 70 million viewers with innovative reinforcement learning software. Andrew's leadership experience as Co-President of the University of Toronto Machine Intelligence Student Team highlights strong organizational and management skills, overseeing a significant number of executives and community members. Additional research roles include contributions to the Robot Vision and Learning Lab and involvement in medical imaging with the Temerty Faculty of Medicine. Andrew is pursuing a Bachelor of Applied Science in Engineering Science at the University of Toronto, specializing in Machine Intelligence.
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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.