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Prof. Wang has been an assistant professor at Lehman College, City University of New York, since Fall 2024. He earned his PhD in Chemical Engineering from National Chung Cheng University, Taiwan, in 2017, where he investigated the self-assembly and solvation behavior of polymers and nanoparticles using molecular dynamics simulations. From 2017 to 2021, he was a postdoctoral researcher at the Institute of Chemistry, Academia Sinica, Taiwan, where he spearheaded the institute’s first machine learning (ML)-driven project on electronic coupling predictions for organic semiconductors, achieving exceptional accuracy while reducing computational costs by a factor of 10,000 compared to density functional theory (DFT) methods. From 2021 to 2024, he served as a postdoctoral researcher at the University of Illinois at Urbana-Champaign, developing electronic coarse-graining models integrated with ML to reveal charge transport mechanisms in organic semiconductors without requiring traditional backmapping or additional DFT calculations. His current research combines ML and data science with multiscale simulations to investigate structure-property relationships in advanced soft materials.