Mu-hua Chien
Postdoctoral Research Associate
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolMu-hua Chien is a climatologist and mathematician with 11 years of experience developing numerical methods and fluid simulations for atmosphere–ocean science. Currently a postdoctoral research associate at Princeton after completing a PhD at NYU Courant, Mu-hua bridges rigorous applied mathematics with practical climate modeling. Their open-source contributions to the AMReX framework—improving multigrid and nodal Poisson solvers—demonstrate a focus on high-performance PDE solvers and scalable simulation infrastructure. Comfortable in both research and software development settings, they have interned at national labs and taught recitations, bringing collaborative skills to complex, computation-heavy projects. Based in New Jersey, Mu-hua combines domain expertise in atmospheric science with hands-on solver engineering to advance more reliable climate projections.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Atmospheric Science, Master of Science - MS, Atmospheric Science at National Taiwan UniversityDoctor of Philosophy - PhD, Atmosphere Ocean Science and Applied Mathematics, Doctor of Philosophy - PhD, Atmosphere Ocean Science and Applied Mathematics at New York University
English, Mandarin, Chinese
Github Skills (13)
cluster-computing10
c-language10
high-performance10
parallel-computing10
cprogramming-language10
amr10
grid10
scientific-computing10
grids10
accelerated-computing10
solver9
linear-systems9
solve9
Programming languages (3)
Github contributions (5)
AMReX-Codes/amrex
Jul 2020 - Jul 2021
AMReX: Software Framework for Block Structured AMR
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 6 commits, 7 PRs in 1 year
Contributions summary:Mu-hua contributed to the AMReX framework, focusing on the Multigrid (MLMG) and MLNodeLaplacian solvers. Their work involved modifying existing code related to semicoarsening strategies and averageDown operations for the nodal solver. They also implemented bug fixes and added a Hypre solver option within the NodalPoisson example. These changes indicate a focus on improving the efficiency and capabilities of the AMReX library for solving partial differential equations.
amrmpistructuredsnl-applicationsmultiphysics
chienmingwu/VVM
Jul 2015 - Jan 2018
Vector Vorticity Model
Contributions:1 release, 375 commits, 6 PRs in 2 years 6 months
vorticityvectormachine-learning
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