Jing Su

Dr. Su is an Associate Professor of Biostatistics and Health Data Science at Indiana University School of Medicine. He also serves as Director of Data Management Services in Biostatistics and Health Data Science, and as Associate Director of Real-World Data for the Biostatistics and Data Management Core of the IU Health Simon Comprehensive Cancer Center. Dr. Su’s biomedical informatics research lab focuses on developing end-to-end solutions for precision medicine in complex and chronic diseases. The lab’s work is organized around three interconnected pillars; 1) developing graph-based methods to represent and analyze complex relationships in biomedical data, including spatiotemporal patterns, causal relationships, biomedical knowledge and ontologies, and topological structures in data and feature spaces; 2) integrating complex data across heterogeneous sources, including real-world clinical data, single-cell and spatial omics data, and clinical trial data; 3) building data ecosystems that bridge advanced graph methods with complex biomedical data, with an emphasis on research data commons and their foundational components, such as graph data models, data standards, and biomedical ontologies. Dr. Su’s research has been supported by the National Institutes of Health and addresses a range of translational challenges, including disease progression modeling in chronic kidney disease and Alzheimer’s disease, development of multimodal artificial intelligence models for kidney disease, early identification of alcohol use disorder, and the construction of alcohol-related research data commons (ARDaC) and the Indiana Precision Oncology (IPO) Research Data Commons.