Summary
Jared Blanchard is a trajectory optimization analyst with nine years of experience applying numerical methods, convex optimization, and Python engineering to mission-critical spaceflight problems. Currently at The Aerospace Corporation he built VIRAL, an internal Python library, and maintains production-grade toolchains and regression-tested packages that support launch and RPO mission design. His PhD work at Stanford advanced invariant-funnel methods and model predictive control to improve landing and transfer trajectories by an order of magnitude in control efficiency, enabling viable mission designs to ocean worlds like Europa and Enceladus. He pairs high-performance C++ and Julia research code with visualization tooling (ParaView plugins) and practical flight-dynamics experience from multiple NASA fellowships, making him fluent across research, software, and operational mission planning. Notably, he has applied differential-algebra Jet Transport techniques and developed a VR pedagogical orbital mechanics tool, reflecting a blend of deep theory and creative outreach.
9 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at Brigham Young University
Doctor of Philosophy - PhD Aeronautics and Astronautics, Doctor of Philosophy - PhD Aeronautics and Astronautics at Stanford University
English, Spanish, German