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Xin Fei is a Lecturer in Business Analytics at the University of Edinburgh Business School. He completed his PhD in Operations Research and Management Science at Warwick Business School. His research stands at the intersection of business analytics, optimization, and decision science methodologies, with a particular emphasis on operational research applications in data-driven decision making. Xin specializes in developing novel methodological approaches in stochastic programming, simulation optimization, and reinforcement learning, focusing on creating computationally efficient methods for complex decision problems under uncertainty. His work has theoretical foundations with practical applications in domains such as transportation systems, industrial engineering, and pharmaceutical portfolio planning. His contributions have been recognized through competitive research grants and he was part of a research team that received the Jane's Innovation Award at the 2019 World Air Traffic Management Congress in Madrid. Xin publishes in leading journals, including the European Journal of Operational Research and IEEE Transactions on Evolutionary Computation. He is committed to teaching excellence, engaging students in predictive and prescriptive analytics, and has received multiple nominations for the EUSA Teaching Award.
University of Edinburgh Business School • Edinburgh, SCT, GB
Lecturer in Business Analytics focusing on teaching and research in operational research and data-driven decision making.
University of Bristol •
Prior appointment focusing on business analytics.
Department of Marketing