Bryan Sundahl is a Senior Algorithm Engineer with a Ph.D. in Applied Mathematics and a decade of experience applying advanced numerical methods to quantum chemical problems. He specializes in multi-resolution analysis for excited-state molecular systems and builds highly parallelized simulations that run on the world’s largest supercomputers. At Roche and prior companies he translates deep numerical theory into production-grade, distributed-memory and multithreaded algorithms for real-world scientific workflows. His background spans mathematics and chemistry (BS and MS) and includes postdoctoral and graduate research that combined rigorous analysis with high-performance implementation. Notably, he blends theoretical innovation with practical engineering—optimizing algorithms for both spectral accuracy and large-scale parallel performance. Based in Austin, he brings research-grade rigor to industry-scale computational challenges.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Chemistry, Master of Science - MS, Chemistry at University of Tennessee, Knoxville
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at The University of Texas at Austin
Contributions:1 PR, 59 pushes, 1 branch in 11 months
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Bryan Sundahl - Senior Algorithm Engineer at Roche