Shane Sawyer
Adjunct Professor at Pellissippi State
Knoxville, Tennessee, United States
Summary
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Senior🎓
Top SchoolShane Sawyer is an applied and computational mathematician pursuing a PhD at the University of Tennessee with 11 years of experience bridging high-performance computing, numerical methods, and teaching. He has a strong track record accelerating and parallelizing scientific software—most notably NCBI BLAST—on emerging architectures like Xeon Phi and benchmarking modern CPUs for floating-point and memory performance. His research spans computational fluid dynamics, higher-order unstructured finite-volume methods, and novel approximations of the spectral fractional Laplacian, while also exploring intersections between machine learning and mathematics. As an educator he’s served as adjunct professor and lecturer, designing and delivering undergraduate courses from precalculus to statistical reasoning. Colleagues describe him as an “occasional programmer and human chimera,” reflecting a blend of hands-on optimization experience, rigorous mathematical thinking, and a willingness to tackle both code- and theory-first problems.
11 years of coding experience
14 years of employment as a software developer
Master of Science Computational Engineering, Master of Science Computational Engineering at The University of Tennessee at ChattanoogaBachelor of Science Applied Mathematics, Bachelor of Science Applied Mathematics at University of Tennessee at ChattanoogaDoctor of Philosophy (Ph.D.) Computational and Applied Mathematics, Doctor of Philosophy (Ph.D.) Computational and Applied Mathematics at University of Tennessee, KnoxvilleProgramming languages (1)
Github contributions (5)
UTennessee-JICS/HPC-BLAST
Apr 2018 - May 2019
Contributions:2 releases, 5 commits, 3 pushes in 1 year
shedsaw/Exact-Diagonalization-Tensor-FEM
Dec 2023 - Oct 2024
Contributions:5 pushes, 1 branch in 9 months
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