Jun Yin is an Assistant Professor in the Department of Applied Physics at The Hong Kong Polytechnic University. He holds a Doctor of Philosophy from Nanyang Technological University. His research focuses on the study of hybrid materials using computational strategies and first-principles approaches, including density functional theory, time-dependent density functional theory, nonadiabatic molecular dynamics, and many-body perturbation theory. He investigates the structural, electronic, and photophysical properties of advanced material systems such as inorganic semiconductors, topological insulators, transition metal dichalcogenides, and inorganic/hybrid perovskites across various dimensionalities and functions. Additional interests include machine learning applications for discovering new materials suited to light-emitting, photovoltaic, and spintronic uses. His teaching areas encompass computational material science and density functional theory and its applications.