Zach Grey is an applied mathematician and aerospace engineer with a decade of experience blending academic research and industry impact in uncertainty quantification, dimension reduction, and robust design. He transitioned from five-plus years at Rolls‑Royce—where he led robust design initiatives and automation of turbine blade analysis—to a research and permanent mathematician role at NIST after PhD work at Colorado School of Mines and CU‑Boulder under Dr. Paul Constantine. His work spans differential-geometry-informed uncertainty quantification and practical stochastic optimization, with a track record of turning theoretical methods into deployable tools for engine component design. An ASQ‑accredited Black Belt, he couples statistical rigor with engineering intuition from astronautics to aero‑thermal component design, and still consults for industry while advancing government-grade computational methods. Notably, he has repeatedly bridged disciplines—applying spacecraft attitude‑estimation techniques and dimension‑reduction research to real-world aeronautical problems.
10 years of coding experience
9 years of employment as a software developer
Computational & Applied Mathematics, Computational & Applied Mathematics at Colorado School of Mines
Master of Science (MS), Aerospace, Aeronautical and Astronautical Engineering, Master of Science (MS), Aerospace, Aeronautical and Astronautical Engineering at Purdue University
Doctor of Philosophy - PhD, Aerospace Engineering Sciences & Applied Mathematics, Doctor of Philosophy - PhD, Aerospace Engineering Sciences & Applied Mathematics at University of Colorado Boulder
Bachelor of Science, Aerospace Engineering, Bachelor of Science, Aerospace Engineering at Embry-Riddle Aeronautical University
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