George Mason University (08/2011-08/2017, 08/2017-08/2024, 08/2024-)
Assistant, Associate, Full Professor of Systems Engineering & Operations Research       Fairfax, VA
Conduct research on stochastic simulation, data analytics, and applications in cloud computing, power systems, health care, manufacturing, and transportation.
Teach core courses on stochastic simulation and predictive analytics.
Serve as graduate curriculum committee chair.

United Airlines (06/2009-08/2011)
Senior Analyst, Finance-Operations Research       Chicago, IL
New forecasting and optimization algorithms for next generation revenue management system and simulation analysis of different designs.
Development of important components of a network revenue management simulator.
Mileage redemption seat displacement cost analysis.
Forecast quality evaluation via historical demand tracking.
Discount full fare class management study.
Analysis on the impact of real-time inventory availability on forecasting and inventory optimization.

IBM T.J. Watson Research Center (06/2008-09/2008)
Business analytics and mathematical sciences intern     Yorktown Heights, NY
Designed importance sampling method to reduce variance of a simulation based Conditional Value-at-Risk estimator used in a stochastic optimization framework with chance constraints.
Implemented a sampling procedure to make random draws from a random vector with any specified marginal distributions and correlation structure.

United Airlines (06/2007-10/2007)
Enterprise optimization intern      Chicago, IL
Enhanced market level discrete choice model based forecasting procedure and reduced forecasting error by 65%. The algorithm was made up of a linear programming based spill and recapture procedure for flight capacity allocation and a nonlinear simplex optimization algorithm for market size calibration.

IBM China Research Lab (06/2005-09/2005)
Business optimization intern        Beijing, China
Formulated a multi-echelon multi-commodity supply chain restructuring problem.
Designed and implemented a hybrid genetic algorithm and linear programming supply chain optimization solver and collaborated with system developers to interface the solver with geographical information system.

Shanghai Optical Networking Tech. (05/2000-10/2001)
R&D Engineer, Co-founder           Shanghai, China
Designed and implemented a wavelength monitoring unit for a Wavelength-Division-Multiplexing ring network.
Designed a hybrid genetic algorithm for traffic grooming to reduce electronic multiplexing.
Conducted comparative studies of the performance of simulated annealing, tabu search, and genetic algorithms for traffic grooming.