Scott Moe is a Senior Software Engineer with eight years of experience building high-performance software for CPUs and GPUs, currently optimizing systems at Microsoft after roles at AMD and in national-lab internships. He holds a Ph.D. in Applied Mathematics and brings deep expertise in numerical simulation, seismology, fluid dynamics, approximation theory, and optimization to large-scale parallel computing. Known for translating mathematical methods into production-ready algorithms, he focuses on squeezing performance out of the world’s largest machines while keeping numerical fidelity. Beyond code, he blends research rigor with practical engineering—an approach honed through academic work and optimization-focused internships at Sandia—while balancing an avid interest in history, videogames, and family life.
8 years of coding experience
6 years of employment as a software developer
Master’s Degree, Applied Mathematics, Master’s Degree, Applied Mathematics at University of Washington
Bachelor’s Degree, Mathematics and Physics, Bachelor’s Degree, Mathematics and Physics at University of Wisconsin-Madison
A proxy app for the Monte Carlo Transport Code, Mercury. LLNL-CODE-684037
Contributions:16 pushes, 1 branch in 1 year 9 months
proxymercurymonte-carlotransportcarlo
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