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Mark Crowley is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He received his Doctorate and Master of Science degrees in Computer Science from the University of British Columbia, where he worked in the Laboratory for Computational Intelligence. He also holds a Bachelor of Arts in Computer Science from York University in Toronto. Before joining Waterloo, he completed a postdoctoral fellowship at Oregon State University in Tom Dietterich’s machine learning group. Dr. Crowley's research focuses on the intersection of algorithms, tools, and theory in Machine Learning, Optimization, and Probabilistic Modeling, with particular interest in challenges related to traditional machine learning optimization algorithms in domains with spatial dynamics and large data sets. He collaborates with researchers in fields such as sustainable forest management, ecology, and resource economics and is actively involved in building an interdisciplinary community in Computational Sustainability, often discussing the implications of AI technology on society through blogs. His teaching includes courses on Algorithm Design, Computational Intelligence, and Software Engineering.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.