Manaf Zargoush

Dr. Manaf Zargoush serves as Associate Professor of Health Policy & Management and Associate Dean at McMaster University's DeGroote School of Business. His academic appointments span health systems research, operations management, and data-driven healthcare policy.

Education:

• Ph.D. in Healthcare Operations and Information Management, McGill University
• Ph.D. in Decision Science and Statistics, ESSEC Business School
• M.Phil. in Decision Sciences, ESSEC Business School
• M.Sc. in Socio-Economic Systems Engineering, Sharif University of Technology
• B.Sc. in Mechanical Engineering, Jundi-Shapoor University

His research integrates data science and stochastic optimization to solve healthcare challenges, with focus areas including chronic disease management (hypertension/diabetes), aging research (disability trajectories, ALC), and causal analytics. Current projects leverage machine learning for personalized medication prescription, climate-resilient elderly care, and hospital discharge optimization. His work bridges operations research with clinical implementation through predictive-prescriptive analytics frameworks.

Recent publications demonstrate strong trends in gerontechnology applications (wearable monitoring), health equity analysis (care fragmentation), and pandemic response systems. Key thematic clusters include: aging population health modeling, climate-health intersections, and AI-driven clinical decision support systems across 15 high-impact publications from 2023-2025.

Teaching Portfolio:

• Decision Analysis for Healthcare (BUSADMIN BL718)
• Analytics and Decision Making in Healthcare (BUSADMIN C755)
• Operations Management (BUSADMIN O650)
• Research Issues in Health Management (BUSINESS C783)

Dr. Zargoush actively leads interdisciplinary research through McMaster's health analytics initiatives, with current projects examining climate impacts on elderly care infrastructure and machine learning applications for hospital discharge optimization. His work connects mathematical modeling with real-world healthcare policy implementation.