Generate a tailored SOP for Dr. Otto Koppius. Improve your application with a focused, well-structured draft.
Otto Koppius is an Assistant Professor in Business Analytics at the Rotterdam School of Management, Erasmus University Rotterdam. His primary research interest lies in sports analytics, focusing on the practical implementation of predictive analytics in organizations to drive data-driven decision-making. He delves into complex networks and predictive analytics while actively exploring the use of detailed observational data sources, including match databases and sensor data from training sessions, to address challenges around talent identification, career management, teamwork, and injury prevention. His methodological pursuits center on enhancing feature engineering to improve decision models and developing tools to detect algorithmic bias. Beyond sports, Koppius applies predictive analytics to issues of sustainability and smart cargo coordination in supply chain networks. He teaches courses on Deep Learning and has contributed to various articles discussing the intersection of technology and sports, including the use of 3D data and wearable systems in enhancing performance metrics. He is committed to advancing methodologies that can translate into practical business problems, particularly in sectors that strive for reduced environmental footprints.
Department of Econometrics / MSc Econometrics and Management Science.