Nima Aghaeepour is a machine learning and artificial intelligence scientist and the Anesthesiology, Perioperative and Pain Medicine II Endowed Professor and Professor of Pediatrics, and of Biomedical Data Science at Stanford University. His laboratory develops machine learning and artificial intelligence methods to study clinical and biological modalities in translational settings. 

Dr. Aghaeepour primarily focuses on leveraging multiomics studies, wearable devices, and electronic health records to address clinical challenges in perioperative care and maternal and child health, with a particular focus on interventional settings including operating rooms, ICUs, labor and delivery, and NICUs. His work is recognized by awards from numerous national and international organizations including the Bill and Melinda Gates Foundation, the Alfred E. Mann Foundation, the March of Dimes Foundation, the Burroughs Wellcome Fund, the National Institute of General Medical Sciences, the National Institute of Child Health and Human Development, the National Institute of Aging, and the National Institute of Neurological Disorders and Stroke. Prior to his faculty role, Dr. Aghaeepour earned his B.Sc. in Computer Science from the University of Tehran, followed by a Ph.D. in Bioinformatics from the University of British Columbia and a postdoctoral fellowship at Stanford University.

Dr. Aghaeepour is an alumnus of Stanford's Graduate School of Business Ignite program, a Biodesign Faculty Fellow, and a SPARK fellow and his laboratory provides training on the interface of academia and entrepreneurship. He regularly co-founds or serves on scientific advisory boards of startup companies and is committed to fostering entrepreneurship among his trainees through Stanford's unique programs. Beyond his scientific pursuits, Dr. Aghaeepour is an experienced pilot, skydiver, and wingsuiter.