Paul Bauman is a Principal Member of Technical Staff with 15 years of experience bridging advanced computational science and high-performance software engineering, currently at AMD. He specializes in multi-physics and multi-scale modeling—ranging from molecular dynamics of materials to coupled hypersonic flow, radiation, and ablation—built on rigorous finite element methods, goal-oriented error estimation, adaptivity, and uncertainty quantification. His background includes academic leadership as an assistant professor and extensive research at UT Austin developing parallel C++ solvers and loose-coupling multi-physics frameworks, demonstrating a rare blend of theory, verification/validation, and production-quality code. Paul’s work emphasizes scientific reproducibility and scalable solvers for stiff, nonlinear PDEs, and he brings practical experience integrating UQ and Bayesian calibration into complex simulation pipelines. Based in Buffalo, NY, he combines aerospace-rooted intuition with computational math rigor to deliver robust, high-performance scientific software.
15 years of coding experience
13 years of employment as a software developer
Ph.D., Computational and Applied Mathematics, Ph.D., Computational and Applied Mathematics at The University of Texas at Austin
Software environment for the group including build scripts, module files, etc.
Contributions:111 commits, 8 PRs, 58 pushes in 4 years 2 months
build-scriptsremote-executionsarif
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Paul Bauman - Principal Member Of Technical Staff at AMD