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Mark Crowley, University of Waterloo

University of Waterloo
Assistant Professor

Mark Crowley is an Assistant Professor in the Department of Electrical and Computer Engineering and the Waterloo Artificial Intelligence Institute at the University of Waterloo. He did a postdoc at Oregon State University with Tom Dietterich's machine learning group researching computational sustainability problems and received his PhD from the University of British Columbia in 2011. He is also a Faculty Research Fellow at Element AI. His research seeks dependable and transparent ways to augment human decision making in complex domains in the presence of spatial structure, large scale streaming data, and uncertainty. His focus is on developing new algorithms within the fields of Reinforcement Learning, Deep Learning and Ensemble Methods. Dr. Crowley often works in collaboration with researchers and policy makers in diverse fields such as sustainable forest management, ecology, autonomous driving, physical chemistry and medical imaging. In particular relation to sustainability, he has validated his algorithms on domains in invasive species control, forest harvest management and forest wildfire management. These types of domains offer unique challenges for traditional artificial intelligence and machine learning algorithms for decision making, prediction and anomaly detection.