Yongjin Shin is an assistant professor and computational materials scientist with eight years of experience applying density-functional theory and data-driven analysis to discover and design complex oxides and semiconductor materials. Trained at Northwestern University (PhD) and seasoned by postdoctoral work at UC Santa Barbara and the University of Chicago, he has led first-principles studies that reveal structure–property relationships, non-equilibrium phases, and electronic changes tied to oxygen vacancy ordering. His work spans practical device-relevant problems—such as noise and carrier capture in MOSFETs and neuromorphic materials—to quantitative models of phase stability and epitaxial stabilization. He develops scripts and codes to streamline first-principles workflows for semiconductor physics, combining deep atomistic insight with reproducible computational tooling. Based in Yongin-si, South Korea, he brings a rare blend of academic rigor and applied problem-solving that bridges fundamental discovery and device-relevant predictions. An underappreciated strength is his consistent focus on turning large calculated datasets into interpretable, predictive rules for materials design.
8 years of coding experience
8 years of employment as a software developer
Bachelor's Degree, Materials science and engineering, 3.85/4.00, Bachelor's Degree, Materials science and engineering, 3.85/4.00 at Korea University
Doctor of Philosophy (Ph.D.), Materials Science and Engineering, 3.85/4.0, Doctor of Philosophy (Ph.D.), Materials Science and Engineering, 3.85/4.0 at Northwestern University
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Yongjin Shin - Assistant Professor at Dankook University