William Currier
Hydrologist at NOAA: National Oceanic & Atmospheric Administration
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolWilliam Currier is a hydrologist with 11 years of experience applying geophysical models, machine learning, and high-performance computing to improve streamflow, snow, and evapotranspiration forecasts for operational water management. At NOAA he blends statistical post-processing, multimodel machine-learning metasystems, and dynamic downscaling of GCMs to reduce uncertainty in critical basins like the Colorado River, and his work on LSTM-based snow estimates and snow-process attribution directly informs reservoir and risk assessments. His background ranges from PhD-level hydrologic modeling and subgrid snow parameterizations to airborne lidar validation and eddy-covariance analysis, giving him a rare mix of theoretical rigor and hands-on field insight. A practiced science communicator and mentor, he thrives in interdisciplinary teams bridging research and operational forecasting to produce actionable water-resilience solutions.
11 years of coding experience
6 years of employment as a software developer
Bachelors of Arts, Environmental Studies, Bachelors of Arts, Environmental Studies at University of Colorado BoulderDoctor of Philosophy (Ph.D.), Civil Engineering, Hydrology and Hydrodynamics, Doctor of Philosophy (Ph.D.), Civil Engineering, Hydrology and Hydrodynamics at University of Washington College of Engineering
Github Skills (7)
logistic-regression5
regression3
data-analysis2
geospatial2
machine-learning2
python2
deep-learning1
Programming languages (2)
Github contributions (5)
wcurrier/DHSVM-PNNL
Sep 2019 - Mar 2021
Contributions:13 commits, 11 pushes in 1 year 6 months
wcurrier/snotel
Mar 2020 - Feb 2026
Contributions:5 pushes, 1 branch in 6 years
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