Oliver Elbert
Computer Scientist at NOAA: National Oceanic & Atmospheric Administration
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolOliver Elbert is a computer scientist and computational physicist who builds high-performance scientific software to advance weather, climate, and astrophysics modeling. With a PhD in physics and over a decade of production coding in Python, C/C++, MATLAB, and JavaScript, he specializes in porting legacy Fortran models into Python-embedded domain-specific languages that compile to optimized C++/CUDA for leadership-class supercomputers. He has run and benchmarked codes on national HPC systems since 2012 and helped bring NOAA’s FV3GFS model to 1-km resolution through DSL work at Vulcan, AI2, and NOAA. Comfortable at the intersection of domain science and tooling, he combines numerical algorithm development with workflow and infrastructure design to make complex models accessible to scientists. An avid data explorer, he applies Bayesian methods, GANs, and machine learning to create interpretable models—and his background in computational astrophysics gives him a track record of producing higher-resolution simulation datasets than previous studies.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Astrophysics, Bachelor of Science (B.S.), Astrophysics at Haverford CollegeUniversity of California, Irvine
Github Skills (36)
fpga10
programming-language9
vivado-hls9
python9
cuda9
pace9
driver9
parallel-computing8
fortran8
parallel8
atmosphere8
middleware8
climate-model8
dsl8
sphere8
Programming languages (4)
Github contributions (5)
oelbert/pace
Jan 2023 - Apr 2026
Re-write of FV3GFS weather/climate model in Python
Contributions:4 PRs, 378 pushes, 27 branches in 3 years 2 months
pythonclimateclimate-modelbootstrappingnoaa
oelbert/SHiELD_physics
Feb 2023 - Jun 2026
Driver for the SHiELD model
Contributions:358 pushes, 6 branches in 3 years 4 months
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