Spencer Patty is a Math Algorithm Engineer at Intel with six years of experience optimizing sparse linear algebra and FFTs for the Math Kernel Library, turning hard practical problems into mathematical formulations and high-performance code. He holds a PhD in Mathematics from Texas A&M and brings deep numerical PDE and finite element expertise that he has applied both in research—simulating red blood cell dynamics—and in production-grade C++ and parallel software at Intel. Formerly a software engineering manager, he blends hands-on optimization with team leadership and a history of teaching complex numerical methods to students and peers. Notably, his background includes accelerating Navier–Stokes solvers and creating toolkits used in academic training, reflecting a rare mix of rigorous theory, performance engineering, and effective communication.
5 years of coding experience
11 years of employment as a software developer
PhD, Mathematics, 3.83, PhD, Mathematics, 3.83 at Texas A&M University
MS, Mathematics, 3.75, MS, Mathematics, 3.75 at Brigham Young University
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