Dr. Jiang is interested in AI for Science: his research focuses on designing, developing, and evaluating large language model techniques for scientific knowledge discovery, question answering, hypothesis generation, validation, experimental simulation, etc. His group has developed AI solutions to biomedical literature mining, knowledge graph construction, ontology and taxonomy induction, and deep reasoning.