Dongwook Shin is an applied mathematics researcher and assistant professor with nine years of experience developing and analyzing numerical methods for partial differential equations, including FEM, DG, HDG and B-spline based approaches. He combines deep theoretical expertise from a PhD at Yonsei University with practical research stints at NIMS and postdoctoral work, now leading computational science teaching and projects at Ajou University. His work spans hybrid and Lagrange-multiplier-enhanced DG schemes and hybrid spectral difference methods, and he explores intersections with machine learning to accelerate or inform PDE solvers. Colleagues value his blend of rigorous numerical analysis and attention to implementable algorithms, often producing methods that balance accuracy, stability, and computational efficiency.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Yonsei University 연세대학교
Contributions:28 commits, 7 pushes, 1 branch in 6 months
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