Amit Rotem
Blacksburg, Virginia, United States
Summary
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Rockstar🎓
Top SchoolAmit Rotem is a PhD-level computational mathematician and software engineer with seven years of experience building high-performance numerical solvers for wave and fluid PDEs using modern C++, Python, MPI, OpenMP, and CUDA. His research advances the WaveHoltz algorithm for the Helmholtz equation and he has contributed optimized GPU kernels to the MFEM library while designing templated, memory- and thread-layout–configurable kernels at Lawrence Livermore National Laboratory. He combines deep theory with production-aware implementation, recently exploring low-rank methods for Navier–Stokes and other high-dimensional PDEs. Based in Blacksburg, VA, Amit bridges academic rigor and practical HPC engineering, often working at the intersection of algorithmic innovation and GPU performance tuning.
7 years of coding experience
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at Virginia TechMaster of Science - MS Computational and Applied Mathematics, Master of Science - MS Computational and Applied Mathematics at Colorado School of Mines
Github Skills (29)
numerical-integration10
armadillo10
optimization-methods10
classification10
computational-science10
hpc10
regression10
differential-equations10
parallel-computing10
root-finding10
cross-validation10
finite-difference10
numerical-analysis10
cpp10
amr10
Programming languages (4)
Github contributions (5)
arotem3/CuDDHelmholtz
Apr 2024 - Jul 2026
CUDA implementation of parallel domain decomposition methods for preconditioning iterative solvers to the Helmholtz equation.
Contributions:2 PRs, 50 pushes, 5 branches in 2 years 3 months
arotem3/TensorView
Jun 2024 - Mar 2026
Contributions:38 pushes, 1 branch in 1 year 8 months
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