Jinge Wang

Email: jinge@berkeley.edu 

Linkedin: jinge-wang-cfd

Github: Jinge-Wang

Resume: link

I am a Ph.D. candidate in Mechanical Engineering at UC Berkeley, specializing in computational fluid dynamics, high-performance computing, and wave physics. Before joining Berkeley, I received my bachelor’s degree from the University of Rochester. My research focuses on developing highly parallelized, pseudo-spectral solvers and analytical reduced-order models to study complex wave interactions, such as triadic resonances and the Zombie Vortex Instability in rotating, stratified flows. Whether modernizing legacy Fortran codebases for supercomputing clusters, implementing custom GPU-accelerated kernels for anisotropic media, or formulating multi-scale perturbation theories, my goal is to push the boundaries of large-scale, high-fidelity physical simulation.

Core Competencies:

• Computational Fluid Dynamics (CFD): Pseudo-spectral methods, Exponential-time-differencing (ETD) schemes, incompressible and Boussinesq equations, rotating/stratified flows, vortex dynamics, wave interactions.

• High-Performance Computing (HPC): Hybrid MPI/OpenMP parallelization, custom GPU (CUDA) kernels, modular Fortran architecture, supercomputing scalability.

• Applied Math & Theoretical Physics: Multi-scale perturbation theory, asymptotic analysis, and reduced-order modeling for nonlinear wave interactions.

 

If you can’t find me at the lab, it is likely that I am windsurfing at Cal Sailing Club. I have been windsurfing for more than 13 years, but I am yet to launch my first forward loop – finger crossed that I will land one before I graduate.