Jia Xu is an Engineer at RAND and a Professor at the Pardee RAND Graduate School. His research interests include aircraft design, unmanned air vehicles (UAV), operations research, optimization and scientific computing. At RAND, Xu has contributed to studies that examined combat search and rescue effectiveness, NASA's future flight test infrastructure, the robustness of the Air Force global mobility network and the design of distributed systems for future air dominance. Xu recently led the development an RAND's advanced air vehicle design too as well as a comprehensive study of the externalities of drone delivery in urban environments. Prior to joining RAND, Xu led the aerodynamic optimization of the Extend Range MQ-9 wing at General Atomics. Xu received his PhD in Aeronautics and Astronautics from Stanford. He also holds an MSc in Numerical Methods from Imperial College and an MSc in International Relations from the London School of Economics, both completed under the tenure of a Marshall Scholarship.