Karandeep Singh, MD, MMSc, is an Associate Professor of Learning Health Sciences, Internal Medicine, Urology, and Information at the University of Michigan. He directs the Machine Learning for Learning Health Systems (ML4LHS) Lab, which focuses on translational issues related to the implementation of machine learning models within health systems. He serves as an Associate Chief Medical Information Officer of Artificial Intelligence for Michigan Medicine and is the Associate Director for Implementation for Precision Health at the University of Michigan. He teaches a health data science course for graduate and doctoral students, and provides clinical care for people with kidney disease.

He completed his internal medicine residency at UCLA Medical Center, where he served as chief resident, and a nephrology fellowship in the combined Brigham and Women’s Hospital/Massachusetts General Hospital program in Boston, MA. He completed his medical education at the University of Michigan Medical School and holds a master’s degree in medical sciences in Biomedical Informatics from Harvard Medical School. He is board certified in internal medicine, nephrology, and clinical informatics.

His work in machine learning and digital health has been published in leading journals in their respective fields, including the New England Journal of Medicine, Lancet, British Medical Journal, JAMA Internal Medicine, Nature Machine Intelligence, Health Affairs, Clinical Journal of the American Society of Nephrology, Ophthalmology, Radiology, and European Urology.