Jie Xu’s research focuses on stochastic optimization using simulation and its implementation in high-performance and cloud computing environment, robust data-driven decision-making and uncertainty quantification, rare event simulation, and computational intelligence. Xu’s application areas of interest include revenue management, risk management, power networks, data centers, cloud, health care, and production planning.
Prior to joining George Mason, Xu was a senior analyst in finance-operations research with United Airlines. He worked on the research and development of revenue management, the airline’s loyalty program, and market demand forecasting. He also worked as a summer intern at IBM T.J. Watson Research Center on risk management for new product development portfolio investments and supply chain optimization at the IBM China Research Lab.