Dr. Jean-Paul Watson
Dr. Jean-Paul Watson is a Distinguished Member of Technical Staff in the Discrete Math and Optimization Department at Sandia National Laboratories, in Albuquerque, New Mexico. He has over 12 years of experience applying and analyzing algorithms for solving difficult combinatorial optimization and informatics problems, in fields ranging from logistics and infrastructure security to power systems and computational chemistry. His research currently focuses on methods for approximating the solution of large-scale deterministic and stochastic mixed-integer and non-linear programs, with applications in the domain of electricity grid operations, planning, and resiliency. Previously, he developed solutions for real-world stochastic optimization problems in logistics (Lockheed Martin and the US Army) and sensor placement (US Environmental Protection Agency). Additionally, he led the development of programs involving the use of semantic graph technologies for performing geospatial imagery analysis. He is a co-developer of Sandia's Pyomo open-source software package for modeling and solving optimization problems, and has published over 40 journal articles in the areas of optimization algorithms and their application.