Daniel Abdi
Research Scientist III at CIRES/NOAA
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDaniel Abdi is a Research Scientist III with 16 years of experience applying high-performance computing and machine learning to weather and climate prediction, currently advancing operational forecasting at CIRES/NOAA. He has built AI emulators for regional and global systems, including a custom global emulator trained on 40 years of ERA5 data and an implementation of GraphCast, and led GPU and OpenMP acceleration efforts for core weather models and physics packages. His work spans modernizing forecast systems (RRFS), containerizing and cloud-migrating GFS, and developing satellite-driven ML tools for soil moisture estimation, delivering both speedups and fidelity improvements. Previously he led GPU-accelerated WRF development at TempoQuest and scaled NUMA to 16,384 GPUs on Titan, reflecting rare expertise at the intersection of numerical methods, HPC, and ML. A PhD-trained engineer who began with a fascination for games and algorithms, he combines deep domain knowledge in geophysical fluid dynamics with practical engineering to push AI-driven forecasting toward operational readiness.
16 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.Sc.), Civil Engineering, Top of class, Bachelor of Science (B.Sc.), Civil Engineering, Top of class at Addis Ababa UniversityDoctor of Philosophy (PhD), Civil Engineering, Doctor of Philosophy (PhD), Civil Engineering at Western UniversityMaster of Science (M.Sc.), Civil Engineering, Master of Science (M.Sc.), Civil Engineering at Indian Inistitute of TechnologyCivil Engineering, Civil Engineering at Florida International University
Github Skills (70)
prediction-model10
uci10
noaa10
minimax10
weather10
weather-data10
chess-engine10
python9
deep-learning9
machine-learning9
grib9
playing8
neural-network8
multithreading8
hip8
Programming languages (8)
Github contributions (5)
dshawul/nn-train
May 2018 - Jul 2022
Neural network training
Contributions:238 commits, 3 PRs, 531 pushes in 4 years 1 month
deep-learningneural-networksmachine-learningtrainingneural-network
dshawul/dshawul.github.io
Oct 2015 - Jan 2024
Contributions:21 pushes, 1 branch in 8 years 4 months
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