Eliot Quon is a senior engineer and computational fluid dynamicist with 11 years of experience applying high-performance computing to wind-energy and atmospheric modeling. He leads multiscale, turbulence-resolving simulation efforts—bridging regional weather prediction and wind-plant microscale dynamics—to improve turbine performance, load prediction, and environmental impact assessments. At NREL he steered the DOE-funded ERF regional forecast model and open-source workflows for CPU/GPU portability, validating mesoscale-to-microscale coupling using AMReX and modern HPC stacks. His work uniquely blends hands-on CFD and aeroservoelastic modeling with data curation and ML-driven analysis for wildlife and wake detection, reflecting both code-level expertise and applied field validation. Based in Golden, Colorado, he combines deep academic training (PhD, Georgia Tech) with cross-disciplinary leadership that advances both research platforms and operational wind-farm decision tools.
11 years of coding experience
18 years of employment as a software developer
PhD Aerospace Engineering, PhD Aerospace Engineering at Georgia Institute of Technology
BS Mechanical Engineering, BS Mechanical Engineering at Cornell University
Python tools for wind simulation setup, data processing, and analysis
Contributions:8 reviews, 126 commits, 78 PRs in 2 years 4 months
pythondata-processingwindsimulationpython-tools
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