Chu Li is a research assistant professor in the Department of Physics at The Hong Kong University of Science and Technology (HKUST). As a computational scientist, his research focuses on developing and applying computational methods — such as machine learning and molecular dynamics simulations — to understand and predict the behaviour and properties of matter at atomic scales, with an emphasis on ice nucleation, aqueous carbon reactions, and hydrocarbon formation. Through his doctoral and postdoctoral work, Chu has uncovered non-classical nucleation pathways, elucidated reaction kinetics using advanced modelling techniques, and explored the role of intermolecular interactions in self-assembly. Leveraging machine learning techniques and ab initio molecular dynamics, he is currently investigating the physical properties of nanoconfined water, the reaction kinetics of deep-Earth hydrocarbons, and the electronic and transport characteristics of two-dimensional materials. Chu's multidisciplinary research aims to advance fundamental understanding of matter with applications across various scientific and engineering domains.