Anna Shlyaeva
Computational Scientist At NOAA EMC
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolAnna Shlyaeva is a computational scientist with nine years of experience developing and leading research and development in data assimilation for geophysical applications. Based at UCAR and now embedded at NOAA EMC, she has led the JEDI-Algorithms team and implemented ensemble-based assimilation methods including EnVar and LETKF across sea-ice and atmospheric models. Her background blends a PhD-level foundation in computer and information sciences with hands-on implementation of hybrid and scale-dependent covariances, model-error strategies, and assimilation-cycle integration. She has a track record of translating advanced research into operational-ready code and algorithms used in numerical weather prediction and sea-ice forecasting. Known for mentoring and teaching from her academic posts, she bridges rigorous theory and practical software engineering to improve forecasting systems. Colleagues rely on her ability to combine deep domain expertise with reproducible, production-focused computational solutions.
10 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer and Information Sciences, General, Doctor of Philosophy (Ph.D.), Computer and Information Sciences, General at Bauman Moscow State Technical University
Russian, English
Github Skills (51)
gfs10
jedi10
obs10
ice10
prediction10
operator10
tla9
esxi9
machine-learning9
compile9
wake-on-lan9
red9
deep-learning9
ics-security9
ocean9
Programming languages (9)
Github contributions (5)
shlyaeva/global-workflow
Dec 2024 - Apr 2026
Global Superstructure/Workflow supporting the Global Forecast System (GFS)
Contributions:19 pushes, 22 branches in 1 year 3 months
JCSDA/GFDL_atmos_cubed_sphere
Jul 2022 - Jul 2024
The GFDL atmos_cubed_sphere dynamical core code
Contributions:2 reviews, 3 PRs, 1 push in 2 years
dynamical-coreatmosdynamicalspheregfdl
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