Noah Brenowitz
Senior Research Scientist at NVIDIA
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolNoah Brenowitz is a Senior Research Scientist with 13 years of experience applying advanced mathematics and machine learning to atmospheric and climate science. He holds a Ph.D. in Atmosphere-Ocean Science and Mathematics from NYU Courant and has blended academic rigor with applied research at institutions including the University of Washington, Vulcan’s climate modeling team, AI2, and currently NVIDIA. His work bridges foundational Earth-system modeling and ML-driven climate solutions, bringing production-oriented research experience at organizations focused on scientific impact. Comfortable moving between theory and large-scale implementation, he has repeatedly translated complex geophysical problems into deployable models and tools. Based in Seattle, he combines deep domain expertise with proven collaboration across academia, non-profits, and industry. An understated strength is his mathematical precision—evident from a perfect Ph.D. GPA—that informs both model fidelity and practical engineering decisions.
13 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Mathematics, Statistics, 3.84/4.00, Bachelor of Science (BS), Mathematics, Statistics, 3.84/4.00 at New York University - Leonard N. Stern School of BusinessDoctor of Philosophy (Ph.D.), Atmosphere-Ocean Science and Mathematics, 4.00/4.00, Doctor of Philosophy (Ph.D.), Atmosphere-Ocean Science and Mathematics, 4.00/4.00 at Courant Institute of Mathematical Sciences, New York University
English, Spanish
Stackoverflow
644reputation
34kreached
6answers
10questions
Github Skills (200)
cartopy10
vim10
nix10
python10
parallel-computing10
spatial10
pandas10
axis10
fine-tuning10
slice10
geometry10
zarr10
physics10
n-dimensional10
matplotlib10
Programming languages (19)
Github contributions (5)
NVlabs/earth2grid
Jun 2024 - Feb 2026
Contributions:4 releases, 44 reviews, 29 PRs in 1 year 9 months
NVlabs/cBottle
May 2025 - Apr 2026
A generative foundation model for the kilometer-scale atmosphere
Contributions:26 reviews, 42 PRs, 65 pushes in 11 months
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