Research Associate at the Institute of Advanced Aerospace Technology, Seoul National University (M.S. in Aerospace Engineering, SNU, 2026). I work on computational fluid dynamics, adjoint-based aerodynamic design, and data-driven turbulence modeling.
🎯 I am currently looking for a PhD position.
- GPU-accelerated CFD solvers and exact discrete adjoints
- Automatic differentiation for CUDA
- Field inversion and symbolic regression for interpretable turbulence and transition models
- Rotorcraft aerodynamics and multidisciplinary design optimization
| Project | Description |
|---|---|
| CuDAFLOW | GPU RANS/LES finite-volume solver with an exact discrete adjoint for shape optimization, inverse design, and field inversion |
| CuAD | Source-to-source automatic differentiation for CUDA: exact tangent and adjoint GPU kernels from CUDA source |
| pyhyp-rotor-overset-generator | Rotor overset (chimera) mesh generator built on pyHyp, with solver-agnostic PLOT3D output |
- Mechanism-Separated Closed-Form Transition Modeling via Field Inversion and Symbolic Regression — under review, AIAA Journal · arXiv:2609.24162
- Vortex-Aware Reconstruction Selection for Reducing Vortex Dissipation, Informed by Field Inversion and Symbolic Regression — under review, Journal of Computational Physics
- A Fully Coupled CFD–Free-Wake Discrete Adjoint for Rotor Design: Retaining Far-Wake Sensitivity — in preparation
More on my homepage.