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Matthew Holden is an Associate Professor in the School of Computer Science at Carleton University. His primary research interest lies in Surgical Data Science, focusing on the application of machine learning techniques to improve surgical outcomes. He employs time series data and sensor information collected from operating room simulations to enhance surgical training and real-time decision-making support for surgeons. His research also emphasizes the need to integrate domain knowledge into machine learning processes within surgery, particularly due to the diversity of patients and the associated costs of adverse outcomes. His work aims to facilitate performance assessment and coaching, thereby increasing surgical efficiency and effectiveness.
Includes MEng and MASc options.