Curriculum Vitae

Selected academic and research experience.

Education

M.S. in Atmospheric Sciences, National Taiwan University, 2025. Thesis: Next-Generation Adaptive Convection–Circulation Coupling Framework (NextACC).
Exchange student, Institute for Atmospheric and Earth System Research, University of Helsinki, 2023–2024.
B.S. in Atmospheric Sciences, National Taiwan University, 2024.

Research Assistant, National Taiwan University, 2025–present. Lead developer of VVMex, a modular GPU-capable redesign of the Vector Vorticity cloud-resolving Model, including its coupled physics and hierarchical validation framework.
Graduate research, 2024–2025. Developed NextACC, coupling a cubed-sphere shallow-water model with an array of two-dimensional VVMs to study convection–circulation interactions.
Undergraduate research, 2020–2021. Built two-dimensional anelastic and quasi-compressible atmospheric models in C++.

C.-W. Hsieh, S.-Y. Tseng, and C.-M. Wu. “VVMex v1.0: A modular GPU-capable refactoring of the Vector Vorticity cloud-resolving Model (VVM) with LES-based hierarchical validation and performance analysis.” Under review at Geoscientific Model Development.
C.-W. Hsieh and C.-M. Wu. “Next-Generation Adaptive Convection–Circulation Coupling Framework.” ESS Open Archive preprint, 2025. DOI: 10.22541/essoar.174051759.91277474.

Dean's Award for Academic Excellence, National Taiwan University, 2023.
Presidential Award and three-time Dean's Award, National Taiwan University, 2021–2023.
Second Place, NTU–IBM Quantum Computing Hackathon, 2022.

Model development: cloud-resolving and multiscale atmospheric models, Cartesian and cubed-sphere grids, physical parameterizations, and numerical solvers.
High-performance computing: C++, Fortran, Kokkos, CUDA, OpenACC, MPI, NCCL, profiling, and scalability analysis.
Scientific software and analysis: Python, automated testing, ADIOS2, NetCDF, HDF5, NumPy, xarray, Matplotlib, and PyTorch.