Stanford Medicine
Grace Kim is an accomplished researcher and technical consultant with a strong background in artificial intelligence and machine learning applications in healthcare. At Stanford University School of Medicine, Grace serves as a lead investigator on projects focused on developing AI-assisted clinical decision support tools and has contributed to the automation of image processing for cardiac arrhythmia research. Grace also has experience as a graduate teaching assistant in computational biology and global health courses. Previously, Grace worked with Praava Health to enhance electronic health record systems and interned at Collective Health as a software engineer. Grace holds an MD from The Johns Hopkins University School of Medicine, alongside an MS in Computer Science specializing in Artificial Intelligence and a BS in Computer Science from Stanford University.
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Stanford Medicine
Stanford Medicine improves health through leadership, diversity, and collaborative discoveries and innovation in health care, education, and research. The Stanford School of Medicine is a premier setting for integrated research, medical education, and clinical care. As the academic hub of Stanford Medicine, which also comprises adult and pediatric healthcare delivery systems, it fuels discovery and innovation to advance human health while empowering the medical and scientific leaders of tomorrow. Learn more at med.stanford.edu/school.