Ran Feng
Postdoctoral Researcher at NCAR - The National Center for Atmospheric Research
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolRan Feng is a postdoctoral researcher and quantitative modeler with 11 years of experience applying complex earth system models and statistical methods to paleoclimate and aerosol-cloud problems. Based in Boulder, CO, he develops and runs large-scale simulations on supercomputer Linux environments, blending hands-on model configuration and tuning with advanced data-assimilation and pattern-recognition techniques to expand sparse proxy records. His background spans a PhD in Earth Sciences and engineering-style work porting and optimizing the ECHAM-JSBACH model, plus interdisciplinary experience teaching and translating results for nontechnical stakeholders. Ran pairs rigorous statistical analysis—regression, spectral analysis, and spatial pattern methods—with software fluency across multiple languages to turn noisy paleoclimate signals into robust inferences. A pragmatic communicator, he has also built reproducible modeling workflows and documentation in academic and industry settings, helping bridge computational research and applied decision contexts.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Geological and Earth Sciences/Geosciences, 3.9/4, Doctor of Philosophy (PhD), Geological and Earth Sciences/Geosciences, 3.9/4 at University of MichiganBachelor’s Degree, Atmospheric Sciences and Meteorology, 3.6/4.0, Bachelor’s Degree, Atmospheric Sciences and Meteorology, 3.6/4.0 at Nanjing UniversityMaster of Science (MS), Atmospheric Sciences and Meteorology, 3.7/4, Master of Science (MS), Atmospheric Sciences and Meteorology, 3.7/4 at Institute of Atmospheric Physics, Chinese Academy of Sciences
English, Chinese
Github Skills (53)
pdf-viewer9
python9
data-mining9
pdf9
pen8
handwriting8
wacom8
data-analysis8
arch8
ubuntu8
pdf-annotation7
debian7
legend6
sketchup6
earth6
Programming languages (8)
Github contributions (5)
fzhu2e/cfr
Apr 2023 - Mar 2025
A Python package for Climate Field Reconstruction
Contributions:3 releases, 8 PRs, 98 pushes in 1 year 10 months
climate-data-toolboxclimate-field-reconstructiongraphical-expectation-maximizationpaleoclimate-data-assimilationproxy-system-modeling
fzhu2e/PyESG
Jan 2015 - Jan 2023
Contributions:43 pushes in 8 years 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.