Yumeng Chen is a data assimilation scientific programmer with 11 years’ experience applying numerical methods to climate and sea-ice models, currently working on PDAF and Python-based DAPPER tools at the University of Reading. With a PhD in Earth Sciences and a strong background in Fortran, C++ and Python, she designs conservative transport schemes, adaptive mesh refinement and scalable data structures for production modeling code. Her work bridges software engineering and research—developing algorithms, implementing them in object-oriented Fortran, and communicating results through publications and interdisciplinary presentations. Curious by nature, she combines mathematical analysis, advanced visualization and computational simulation to probe numerical model behavior and improve assimilation workflows. An often-overlooked strength is her track record of collaborating across institutions (including the Met Office and University of Hamburg) to translate idealized tests into practical model improvements.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.), Atmospheric Sciences, Bachelor of Science (B.S.), Atmospheric Sciences at Nanjing University of Information Science and Technology
Doctor of Philosophy (Ph.D.), Earth Sciences, Doctor of Philosophy (Ph.D.), Earth Sciences at University of Hamburg
Master of Science (M.Sc.), Atmosphere Ocean and Climate, Distinction, Master of Science (M.Sc.), Atmosphere Ocean and Climate, Distinction at University of Reading
Contributions:21 pushes, 4 branches in 2 years 4 months
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Yumeng Chen - Data Assimilation Scientific Programmer (PDRA)