Patrick Hawbecker
Senior Data Scientist
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolPatrick Hawbecker is a Senior Data Scientist and atmospheric scientist with 13 years of experience applying machine learning and high-fidelity numerical modeling to wind energy and severe weather problems. He has led mesoscale-to-microscale WRF coupling, wind turbine lifetime studies via microburst simulations, and engineering-focused post-processing for renewable energy projects at NCAR, NREL, and industry. Now based in Boulder and working at the intersection of data science and atmospheric physics, he translates complex model output into actionable insights for wind-energy design and risk assessment. His background bridging civil engineering statistics and atmospheric simulation gives him a rare ability to connect physical-model fidelity with practical engineering metrics.
13 years of coding experience
14 years of employment as a software developer
Master of Science (MS), Atmospheric Sciences and Meteorology, Master of Science (MS), Atmospheric Sciences and Meteorology at Texas Tech UniversityDoctor of Philosophy (Ph.D.), Atmospheric Sciences and Meteorology, Doctor of Philosophy (Ph.D.), Atmospheric Sciences and Meteorology at North Carolina State UniversityBachelor of Science (BS), Atmospheric Sciences and Meteorology, Bachelor of Science (BS), Atmospheric Sciences and Meteorology at The Ohio State University
English, Spanish
Github Skills (93)
climate-model10
energy10
mcmc10
infrastructure10
bayesian-inference10
rust-language10
garbage-collection10
rust-lang10
snl-applications10
exascale10
compiler10
rust10
renewable-energy10
bayesian10
crate10
Programming languages (9)
Github contributions (5)
quantheory/JEFE
Apr 2022 - Nov 2024
Contributions:92 pushes, 1 branch in 2 years 7 months
quantheory/E3SMTimestepStudy
Apr 2020 - Oct 2022
Contributions:2 releases, 17 pushes, 1 branch in 2 years 6 months
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