Grace Kim

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.