Annabelle Long
Water Resources Engineer
Sacramento, California, United States
Summary
👤
Senior🎓
Top SchoolAnnabelle Long is a licensed chemical engineer and water resources engineer with 10 years of technical and program management experience across federal agencies and municipal utilities. She has led high-profile environmental compliance and adaptive management work—most recently enforcing water quality standards during the Klamath Dam Removal and drafting CEQA materials for multiple hydroelectric relicensing efforts in California. Previously she managed multi‑million dollar medical research portfolios and acquisition programs for the Air Force, bringing systems engineering (MBSE) and budgetary discipline to complex, interdisciplinary teams. Comfortable at the intersection of field science, regulatory process, and program delivery, she combines hands‑on lab and field experience with executive briefing and stakeholder coordination skills. Based in Sacramento, she blends rigorous chemical engineering training with a track record of translating technical analyses into actionable policy and contracting outcomes.
10 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Chemical Engineering, 3.69 GPA, Master of Science (MS), Chemical Engineering, 3.69 GPA at Miami University
Github Skills (11)
monte-carlo9
cuda8
simulation8
gpu7
molecular-simulation7
openmp7
parallel6
high-performance6
hpc3
mpi3
gpu-acceleration2
Programming languages (1)
Github contributions (3)
ElsevierSoftwareX/SOFTX_2018_93
May 2018 - Jul 2018
GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems
Contributions:56 commits in 1 month
cudagpu-accelerationmpiparallelgpu
GOMC-WSU/GOMC
Mar 2018 - Jul 2018
GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems
Contributions:45 pushes, 2 branches, 2 issues in 3 months
grand-canonical-monte-carlosurface-tensionfree-energysimulationmonte-carlo
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