Jared Duensing

Computational Aerosciences Branch Chief

As chief of the Computational Aerosciences Branch, Jared Duensing oversees a team of researchers specializing in the development and application of computational modeling and simulation tools for a vast range of aerospace problems. Research topics include scale-resolving simulation methods, multiphase flows, design optimization, large-scale aerodynamic database development, and computational grid generation tools. Technology developed in this branch plays an integral part in the success of many mission-critical NASA programs, including the Space Launch System (SLS), the transonic truss-braced wing (TTBW), and the X-59 Low Boom Flight Demonstrator.

Duensing joined NASA Ames in 2016 as an aerospace engineer and has focused primarily on applied computational fluid dynamics (CFD) for a wide array of aerospace vehicle configurations using the Launch Ascent and Vehicle Aerodynamics (LAVA) framework. His work on aerodynamic database generation for the all-electric X-57 Maxwell aircraft was key to characterizing aircraft stability and performance, which was used to develop the X-57 flight simulator. He has also leveraged CFD to assess many green aviation concepts and technologies, including evaluation of distributed electric propulsion and boundary layer ingestion benefits. Additionally, he developed many capabilities and best-practices for accurate and robust wind tunnel modeling and simulation.

Prior to joining NASA, Duensing served as an engineer in industry researching hydraulics and pneumatics for a variety of aerospace vehicle systems. He obtained a bachelor’s and master’s degree in aerospace engineering with a concentration in aeronautics from Arizona State University.