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Marcus Brubaker is an Associate Professor at York University and a Research Scientist at Google DeepMind. His research interests encompass Computer Vision, Machine Learning, and the application of Statistics to a range of problems. He is the founder and director of the Computational Vision and Imaging Lab at York University and a faculty affiliate at the Vector Institute. Brubaker's work includes exploring the theoretical aspects and applications of generative models, particularly normalizing flows. His research also focuses on estimating 3D structures of biological molecules such as proteins and viruses utilizing Cryo-EM technologies. Additionally, he has made significant contributions to vehicle localization in robotics, human motion modeling, probabilistic programming languages, and Bayesian methods applied to forensic ballistics. Previously, he has served in editorial roles and been associated with various high-profile conferences in the field. Brubaker completed his PhD at the University of Toronto and has postdoctoral experiences at Toyota Technological Institute and the University of Toronto. He has a track record of successful collaborations and is actively involved in advancing the field of computer vision.
York University • Toronto, Canada
Promoted to Associate Professor, specializing in Computer Vision and Machine Learning.
Google DeepMind • Toronto, Canada
Joined Google DeepMind as a Research Scientist.
Cadre Research Labs •
Led research initiatives related to computer vision.
Samsung AI Center • Toronto, Canada
Conducted research as a visiting professor.
Department of Liberal Arts & Professional Studies graduate programs generally follow the Faculty of Graduate Studies (FGS) B+ minimum requirement.