We are a theoretical and computational chemistry group dedicated to exploring the structure–function relationships of molecular systems, ranging from small molecules to large, complex clusters. Our research combines quantum mechanical approaches with machine learning to develop next-generation methods for modeling vibrational structure and dynamics. We also design novel algorithms to compute thermal properties based on quantum statistical mechanics. By advancing computational tools and theoretical frameworks, we aim to deepen our understanding of molecular behavior across a wide range of chemical and biological systems.