Drew Loney
Civil Engineer (Hydrologist) at Bureau of Reclamation - Technical Services Center
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDrew Loney is a civil engineer and hydrologist with a decade of experience applying fluid mechanics, hydraulics, and computational methods to complex water infrastructure and military logistics problems. He blends Civil and Mechanical Engineering expertise—PhD-trained in mechanical engineering—to bridge scales from numerical CFD and high-performance computing to field-scale reservoir and estuary operations. At USACE ERDC and the Bureau of Reclamation he has led efforts in Forecast Informed Reservoir Operations, dredge optimization, and automated hydrodynamic modeling, saving project time through HPC tools like a redeveloped OSTRICH calibration platform. Drew combines applied research (machine learning for water quality forecasting) with software-forward solutions (Python APIs, automated meshing) to put models into operational use. He is experienced in risk-informed decision support for dam safety and treaty-level water management, and he teaches scientific computing best practices to lift organizational capability. Based in Denver, he seeks cross-disciplinary challenges that translate advanced modeling into tangible savings and improved infrastructure outcomes.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.), Civil Engineering, Bachelor of Science (B.S.), Civil Engineering at Massachusetts Institute of TechnologyMaster of Science (M.S.), Mechanical Engineering, Master of Science (M.S.), Mechanical Engineering at Georgia Institute of Technology
Github Skills (63)
algorithms10
scipy10
python10
cupy10
cuda10
cudnn10
scientific-computing10
numpy-arrays10
nvrtc9
prediction-model9
cusparse9
cusolver9
water9
cublas9
calibration9
Programming languages (2)
Github contributions (5)
DOI-BOR/ostrich
Apr 2020 - Jan 2022
An optimization toolkit for model calibration
Contributions:1 release, 3 reviews, 70 commits in 1 year 9 months
planningcalibrationoptimizationmodel-calibration
DOI-BOR/SOM-Hydrograph-Classification
Jul 2023 - Sep 2024
Source code and examples for using self-organizing maps to classify hydrographs
Contributions:7 PRs, 2 pushes, 1 branch in 1 year 2 months
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