Shelby Lockhart is a Senior Member of Technical Staff at AMD with eight years’ experience designing scalable numerical solvers and high-performance communication strategies for heterogeneous supercomputer architectures. She holds a PhD from UIUC’s Scientific Computing group and has a track record of shipping production-ready solver optimizations—contributions to SUNDIALS, RAPtor, and MIRGE-Com—demonstrated through publications and national lab internships. Shelby’s expertise spans node-aware, low-synchronization algorithms and GPU offload strategies, enabling large-scale Krylov and Anderson acceleration workflows to run efficiently on emerging hardware. Based in Signal Mountain, Tennessee, she pairs deep numerical analysis and parallel-performance profiling with practical engineering to move research prototypes into real-world HPC toolchains. An interesting thread across her career is repeated success translating academic research into optimized code within widely used libraries, making her both a researcher and a pragmatic implementer.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Urbana-Champaign
Bachelor of Science - BS Mathematics and Computer Science, Bachelor of Science - BS Mathematics and Computer Science at Wake Forest University
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