Daniel Howard
HPC Consultant at UCAR - The University Corporation for Atmospheric Research
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDaniel Howard is an HPC consultant with 11 years of experience applying applied mathematics and high-performance computing to climate, atmospheric and environmental problems. Based in Boulder, he helps domain scientists port and optimize codes for GPUs and accelerators, with hands-on experience across national labs, academia, and international HPC centers like RIKEN. His technical strengths span numerical algorithms, fluid dynamics, and portable GPU-aware software design, while his applied interests include monsoon dynamics, water-stress social responses, and sustainable energy systems. Daniel combines rigorous research training (PhD-level work in computational fluid dynamics) with practical HPC consulting to reduce "time to science" for users. He is motivated by equitable, systems-level solutions to climate and resource challenges and deliberately focuses on making GPU computing accessible to non-expert domain researchers.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Applied Mathematics, Engineering, and Physics (AMEP), Bachelor of Science (BS), Applied Mathematics, Engineering, and Physics (AMEP) at University of Wisconsin-MadisonMaster of Science - MS, Applied & Computational Mathematics & Statistics (ACMS), Master of Science - MS, Applied & Computational Mathematics & Statistics (ACMS) at University of Notre Dame
English, Spanish, Hindi, Japanese
Github Skills (18)
fortran9
openacc8
gpu8
hpc7
atmospheric-modelling3
climate-model3
time-series2
satellite-imagery1
machine-learning1
python1
spring1
satellite-data1
landsat1
earth-observation1
cml1
Programming languages (5)
Github contributions (5)
NCAR/GPU_workshop
Mar 2022 - Sep 2022
Contributions:77 commits, 5 PRs, 55 pushes in 6 months
dphow/dphow.github.io
Sep 2015 - Aug 2023
Contributions:76 pushes, 3 branches in 7 years 11 months
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