Andrew Barker is a Math Algorithm Engineering Manager with a decade of experience translating numerical analysis and high-performance computing research into optimized linear algebra routines for cutting-edge hardware. Based in Hillsboro, Oregon, he leads a hybrid team of computer scientists and mathematicians at Intel, blending managerial rigor with hands-on algorithm design honed during roles at Lawrence Livermore and academic postdocs. His background—PhD in Applied Mathematics from CU Boulder—underscores a deep familiarity with both theory and practical implementation for performance-critical systems. Known for bridging research and production, he focuses on squeezing performance from emerging architectures while keeping numerical robustness top of mind. An apt summary from his GitHub—“Some computing, some math”—captures his dual identity as a practitioner who thrives where mathematical elegance meets systems engineering.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of Colorado Boulder
Contributions:17 commits, 5 PRs, 8 pushes in 2 years 7 months
multigridspectralaggregationalgebraic
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Andrew Barker - Math Algorithm Engineering Manager