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Philippe Dixon is an Associate Professor at the University of Montreal, specializing in human gait analysis to improve mobility, particularly for populations suffering from musculoskeletal disorders. His research employs motion capture systems and wearable devices to assess human movement dynamics. He is actively engaged in applying machine learning techniques for detecting and predicting physiological events and states, and he develops software for data analysis. With a Doctorate in Biomedical Engineering from the University of Oxford, and postdoctoral training from Harvard University, his expertise centers on biomechanics and rehabilitation. Dixon has supervised numerous graduate theses focusing on innovative methods for assessing and enhancing gait and mobility, addressing topics from convolutional neural networks for terrain identification to studying intra-subject performance in walking. He co-leads multiple funded research projects aimed at evaluating human biomechanics in real-world settings, working alongside various institutions to advance knowledge in the field of kinesiological and biomechanical sciences.
University of Montreal • Montreal, QC
Engaged in research and teaching in the field of kinesiology and biomechanics.
Most programs require French B2 level; specific departments may require C1 or C2.