Dr. Manaf Zargoush is an associate professor of Health Policy & Management at the DeGroote School of Business, McMaster University. He holds a Ph.D. in Healthcare Operations and Information Management (McGill University, Montreal, Canada), a Ph.D. in Decision Science and Statistics (ESSEC Business School, Paris, France), M.Phil. in Decision Sciences(ESSEC Business School, Paris, France), M.Sc. in Socio-Economic Systems Engineering (Sharif University of Technology, Tehran, Iran), and B.Sc. in Mechanical Engineering (Jundi-Shapoor University, Ahvaz, Iran). His main areas of research expertise and interests include using Data Science (machine learning, artificial intelligence, statistical modeling) for descriptive and predictive analytics and optimization (stochastic dynamic optimization, Markov and Semi-Markov Decision Processes, Partially Observable Markov Decision Processes) for prescriptive analytics of a wide range of health-related problems, such as medical decision-making, and healthcare operations management. His current main projects are chronic disease (particularly hypertension and diabetes) management and aging research (e.g., ALC in Canada and predicting the trajectory of disabilities among older adults). He is also interested in physicians' learning in uncertain environments as well as causal analytics using machine learning and big data.