Tooraj Mirshahi is a professor in the Department of Genomic Health at Geisinger, where he directs a multidisciplinary research program at the intersection of genomics, artificial intelligence, and clinical medicine. His work integrates genomic, metabolomic and longitudinal electronic health record data to develop multimodal predictive frameworks for disease risk stratification, with a primary focus on cardiometabolic, cardiovascular, and kidney disease. His research portfolio includes large-scale biomarker discovery in chronic liver disease using paired liver–serum multi‑omic datasets, contributing to novel therapeutics currently in phase II clinical trials; rare variant and polygenic risk analyses in kidney stone and cystic kidney disease; and the development of AI‑based clinical decision support tools. His work is deeply transdisciplinary, conducted in close collaboration with clinicians and guided by a commitment to real‑world clinical translation. He serves as PI and co‑PI on multiple NIH‑funded projects and leverages Geisinger’s integrated health system data and genomic biobank (MyCode/DiscovEHR) to advance precision medicine at scale.