Feixiong Cheng is a systems pharmacologist and data scientist by training, with extensive expertise in analyzing, visualizing, and mining data from real world (e.g., electronic health records (EHRs) and health care claims) and experiments that profile the molecular state of human cells and tissues by genetics, genomics, transcriptomics (single-cell/nucleus), proteomics, metabolomics, and interactomics (protein-protein interactions and chromatin interactions), for drug discovery and patient care. The primary goal of his lab is to combine tools from genetics and genomics (DNA/RNA sequencing), EHRs, artificial intelligence, machine learning, network medicine, bioinformatics, and experimental systems biology assays, to address the challenging questions toward understanding of Alzheimer’s disease, which could have a major impact in identifying novel real-world data-driven diagnostic biomarkers and therapeutic targets for Alzheimer’s precision medicine drug discovery.