Christopher Harrop is a Senior Associate Scientist with 11 years in high-performance computing and more than three decades working at the intersection of computational science and weather prediction. He specializes in porting and optimizing numerical weather prediction models for heterogeneous exascale systems, using tools like GT4Py, modern Fortran, MPI, and workflow engines to achieve performance portability across CPUs and GPUs. Chris designed Rocoto, a workflow manager that materially improved NOAA experimental forecast reliability, and he contributes to the Unified Forecast System and JEDI data assimilation with practical bug fixes and integration work. Based in Louisville, Colorado, he blends hands-on systems experience—from building clusters and administering HPC environments to developing pedagogy-grade parallel models—with research presentation and team mentorship. An unusual strength is his long-term focus on both tooling and reproducible workflows, enabling complex, distributed forecast experiments to run reliably at scale.
11 years of coding experience
24 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Oregon
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Colorado State University
Contributions:81 reviews, 106 PRs, 627 pushes in 1 year 9 months
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