Shah brings over 20 years R&D and implementation expertise in computational modeling, simulation, and large-scale numerical analysis. He has developed breakthrough methods in numerical discretization, error estimation, and adaptive computational solution techniques. Shah’s leadership in the field of scientific computing and complex project management have pushed enterprise computing performance standards by orders of magnitude while reducing computing costs. Shah holds a Ph.D. in Numerical Analysis from the Rensselaer Polytechnic Institute, with a focus on adaptive numerical methods.