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William Marshall is an Associate Professor and Department Chair in the Department of Mathematics and Statistics at Brock University. He holds a BSc from Brock University, an MMath, and a PhD from the University of Waterloo. Dr. Marshall's primary research interests focus on computational statistics with applications in neuroscience. His work centers on developing statistical information-theoretic methods to understand complex neural systems and the implications for artificial agents. His research explores causal networks in the brain, aiming to analyze information-theoretic causal measures related to network structure and complexity. He also investigates measures of connectivity in neuroimaging, combining signal processing, statistical learning, and modality-specific domain knowledge to assess functional connectivity in noisy, high-dimensional datasets. Additionally, he has a secondary interest in sports analytics, where he applies statistical modeling and machine learning to problems in player evaluation and strategy quantification. Marshall has published several notable articles in esteemed journals, contributing significantly to both neuroscience and applied statistics.
This entry applies to the general Graduate Studies standard for departments such as English Language and Literature, History, Philosophy, and Sociology.