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Andrew Hamilton-Wright is an Associate Professor in the School of Computer Science at the University of Guelph. He specializes in machine learning techniques for decision exploration systems. Dr. Hamilton-Wright's research interests focus on rule-based association mining techniques, which facilitate visual exploration of risk and certainty in decision-making systems. His work bridges rule-based systems with statistical certainty, aiming to create models that enhance decision confidence and support contingent decision planning. Key research themes include applications in human health, where his expertise spans electromyographic (EMG) based muscular disease characterization, prediction of pain from EMG postural fatigue, and EMG force-based characterization of sleep apnea. Additionally, he has developed physiological models using EMG simulators for data validation. His contributions to the field have been supported by notable grants from the Natural Sciences and Engineering Research Council of Canada (NSERC), including a Discovery Grant in 2021 and an Engage Grant in 2018. He is also active in research ethics and editorial review, having served on the Proceedings of the Nova Scotian Institute of Science from 2013 to 2019. Dr. Hamilton-Wright is a member of the One Health Institute and the Centre Advancing Responsible Ethical Artificial Intelligence (CARE-AI).
School of Rehabilitation Therapy, Queen’s University • Kingston, ON
Conducted research focusing on rehabilitation therapies and their applications in enhancing human health.
Department of Mathematics and Computer Science, Mount Allison University • Sackville, NB
Taught and conducted research on machine learning and computational methods.
School of Computer Science, University of Guelph • Guelph, ON
Leads research initiatives in artificial intelligence and machine learning.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).