Yunheng Wang
Research Scientist at University of Oklahoma
Norman, Oklahoma, United States
Summary
👤
Senior🎓
Top SchoolYunheng Wang is a research scientist with 8 years of experience specializing in high-performance computing for geosciences, focusing on parallel algorithms and scalability across shared-memory, distributed-memory, and hybrid systems. Based at the University of Oklahoma, he develops numerical components and software management for convective-scale weather forecasting, including 3DVAR and EnKF data assimilation and operational ensemble prediction. His work spans real-time hazardous weather experiments, user-facing software support, and maintaining the Advanced Regional Prediction System (ARPS), blending research rigor with production-ready operational deployment. Trained with a Ph.D. in Computer Science and an M.S. in Meteorology, he uniquely bridges numerical weather prediction and parallel computing to squeeze performance from complex models on modern HPC platforms.
8 years of coding experience
Master's degree, Meteorology, Master's degree, Meteorology at University of MarylandDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Oklahoma
Chinese, English
Github Skills (43)
prediction-model10
grib10
weather10
noaa10
weather-data10
atmosphere9
ats9
sphere9
nodejs9
react9
ufs8
fenics8
management8
hybrid-cloud8
physics8
Programming languages (5)
Github contributions (5)
NOAA-National-Severe-Storms-Laboratory/frdd-MPAS-Model
Nov 2022 - Mar 2025
Repository for MPAS models and shared framework releases.
Contributions:11 PRs, 54 pushes, 10 branches in 2 years 5 months
pythonmpas
ywangwof/mpas_runscripts
Oct 2022 - Apr 2025
Contributions:204 pushes, 8 branches, 17 tags in 2 years 6 months
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