Karandeep Singh is Assistant Professor in the Departments of Learning Health Sciences and Internal Medicine. He is a physician, researcher, and educator interested in studying learning health systems, making new discoveries about disease, and improving patient care through technology. His research areas include natural language processing of clinical notes, risk prediction using high-dimensional data, and mobile health. He is an assistant professor of Learning Health Sciences in the Division of Learning and Knowledge Systems and an assistant professor of Medicine in the Division of Nephrology at the University of Michigan Medical School. He teaches a course on applied data science in health to doctoral and masters students. Dr. Singh completed his internal medicine residency at UCLA Medical Center, where he served as chief resident, and a nephrology fellowship at Brigham and Women’s Hospital in Boston. 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.
Research and scholarly interests: Natural language processing of clinical notes, risk prediction in health, mobile health apps, wearable technologies, learning health systems, population health
Subject-matter expertise: Health informatics, natural language processing, high-dimensional statistics and machine learning, R programming, chronic kidney disease
Harvard Medical School, Master of Medical Sciences, Biomedical Informatics, 2015
University of Michigan Medical School, Doctor of Medicine (MD), 2008
University of Michigan, Bachelor of Science, Cell/Cellular and Molecular Biology, 2004