Elynn Wu
Senior Research Engineer at Allen Institute for AI (AI2)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolElynn Wu is a Senior Research Engineer in Seattle with eight years of experience at the intersection of renewable energy, scientific computing, and climate modeling. She holds a PhD in Mechanical Engineering from UC San Diego and has applied machine learning, high-performance computing, image processing, and CFD to improve solar forecasting and stratocumulus representation in weather models. At AI2 and Vulcan she focused on building faster, more accurate climate models, and earlier roles at Siemens, JPL, and Clean Power Research blend customer-facing engineering support with research-driven tool development. Known for turning complex scientific problems into production-ready software, she combines rigorous academic training with practical engineering—often optimizing pipelines and visualization workflows that make model results actionable for stakeholders.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Atmospheric Sciences, Applied and Computational Math Sciences, Bachelor of Science (BS), Atmospheric Sciences, Applied and Computational Math Sciences at University of WashingtonUniversity of California, San DiegoAssociate of Science (A.S.), Associate of Science (A.S.) at Bellevue Community College
English, Chinese
Github Skills (22)
fortran10
snl-applications10
python9
hpc9
cpp9
earth-science9
pace9
exascale8
parameterization8
simulation8
machine-learning-models8
computational-fluid-dynamics7
machine-learning6
pytorch5
deep-learning4
Programming languages (7)
Github contributions (5)
jortizta/atmos-neuralnet
Aug 2019 - Sep 2019
Contributions:23 commits, 18 pushes in 1 month
ai2cm/fv3gfs-physics
Aug 2021 - Nov 2021
Python implementation of FV3 GFS physics built using the GT4Py domain-specific language in Python.
Contributions:15 reviews, 6 PRs, 33 pushes in 3 months
gfsphysicspythonpython-implementationpython-bindings
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