Feiyu Lu
Research Scientist @ NOAA/GFDL and UCAR | PhD, Data Assimilation, Climate Prediction, Climate Modeling, Machine Learning
- Role
- Affiliated Research Scientist at Noaa National Oceanic & Atmospheric Administration
- Location
- Livingston, NJ, US
- LinkedIn followers
- 500 followers
About Feiyu Lu
PhD-level research scientist with 7+ years of experience advancing the frontiers of…
Experience
Affiliated Research Scientist
Noaa National Oceanic & Atmospheric Administration
Sep 2017 — Present · Princeton, NJ, US
Led the full lifecycle—from development to operational transition—of GFDL’s SPEAR seasonal climate prediction system, a large-scale ensemble system running on HPC infrastructure.• Designed and built a high-performance Bayesian data assimilation system for GFDL’s MOM6 ocean model, scaling algorithms for one of the world\'s fastest global DA systems.• Researched and implemented novel deep learning architectures (UNet, CNNs) to create hybrid statistical-ML data assimilation methods, published in a first-author paper.• Developed diffusion-based generative model prototypes to perform global ocean data assimilation from operational reanalysis and observational data.• Engineered and integrated Fortran-based neural network inference engines directly into production-scale global climate models, demonstrating end-to-end technology transfer from research to an operational environment.• Mentored junior researchers (undergraduate, graduate, and postdoctoral) and collaborated with internal and external research teams to publish and advance scientific discovery.
Education
University of Wisconsin-Madison
Doctor of Philosophy - PhD
2011 — 2017
Peking University
Bachelor of Science (BS)
2007 — 2011
Peking University
Bachelor's degree
2007 — 2011
Skills
- Data Assimilation
- C
- Linux
- Latex
- Matlab
- Climate Modeling
- Statistics
- Fortran
- Mathematical Modeling
- R
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