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Marc Lanovaz is a Professor in the Department of Psychoeducation at the Université de Montréal. His research expertise encompasses the application of machine learning to improve clinical decision-making and the development of mobile and web applications to facilitate the delivery of services in health and education. His primary research interests include developing and evaluating machine learning models for enhancing clinical decision-making, creating web and mobile applications to assist parents and healthcare professionals in implementing assessments and treatments, and using artificial intelligence to detect and measure verbal and non-verbal behaviors in practical contexts. He has also conducted extensive research on analyzing patient and professional behavior through data mining techniques.
Department of Pharmacology and Physiology - Research intensive with options in Neuropharmacology and Pharmacogenomics.