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If you are looking for someone who can translate rigorous analytics into actionable insight, teach solid quantitative skills, and work at the interface of business, systems and policy, Dr. Kobara is precisely that.
Dr. Yawo Mamoua Kobara is an Assistant Professor of Supply Chain Management and Data Analytics at the Odette School of Business, University of Windsor. His professional experience integrates academic research, data-driven analysis, and applied operations modeling across healthcare, business, and service systems.
Before joining the University of Windsor, Dr. Kobara served as a Postdoctoral Fellow at the Rotman School of Management, University of Toronto, where he contributed to research on decision analytics and healthcare operations. He also worked as a Teaching and Research Assistant at Western University, supporting courses and projects in statistics, operations research, and applied mathematics.
Dr. Kobara has collaborated on multiple interdisciplinary projects involving queueing theory, healthcare service optimization, AI/ML applications, and data analytics for policy and business decisions. His experience spans teaching, quantitative modeling, data analysis, and research leadership, focusing on transforming complex data into actionable insights for strategic and operational improvement.
Dr.
Kobara holds a Ph.D. in Statistics from Western University (Canada), where he specialized in stochastic modeling and applied statistical analysis for complex systems such as healthcare and service operations. He also earned a Master of Science in Financial Engineering from WorldQuant University, emphasizing quantitative finance, optimization, and risk modeling, and a Master of Science in Mathematical Sciences from the African Institute for Mathematical Sciences (AIMS), focused on applied mathematics and computational methods.
This multidisciplinary academic background provides him with a strong foundation in mathematics, data analytics, and decision modeling, which he integrates into his teaching and research in supply chain management and business analytics.