International thought leader joins MUSC to lead its Artificial Intelligence and biomedical informatics initiatives

Marylyn D. Ritchie, Ph.D., will join the Medical University of South Carolina as chief Artificial Intelligence officer and associate dean to lead the Center for Artificial Intelligence and the Division of Computational Health Sciences, effective Nov. 3. She comes from the University of Pennsylvania’s Perelman School of Medicine with a long record in translational bioinformatics.

Marylyn D. Ritchie, Ph.D., has been appointed chief Artificial Intelligence officer at the Medical University of South Carolina, effective Nov. 3. She will lead MUSC’s Center for Artificial Intelligence, serve as associate dean for Artificial Intelligence, and direct the Division of Computational Health Sciences & Artificial Intelligence in the College of Medicine. The appointment positions her to coordinate enterprise-wide Artificial Intelligence efforts across education, research, and patient care and to build collaborative initiatives connecting clinicians, faculty, industry partners, staff, students, and trainees.

Ritchie joins MUSC from the University of Pennsylvania’s Perelman School of Medicine, where she held multiple leadership roles including vice dean of Artificial Intelligence & Computing, Edward Rose and Elizabeth Kirk Rose professor of genetics, director of the Institute for Biomedical Informatics, director of the division of informatics in the department of biostatistics, epidemiology, & informatics, co-director of the Penn Medicine BioBank, and vice president for research informatics in the university health system. An internationally recognized translational bioinformatics leader, she has more than 20 years of experience integrating genomics, multi-omics, and electronic health record data to advance precision medicine and has authored over 500 publications. Her honors include fellowship in the American College of Medical Informatics and membership in the National Academy of Medicine.

At MUSC, Ritchie will expand educational offerings in Artificial Intelligence and computational health sciences, develop shared research infrastructure, and promote responsible Artificial Intelligence practices aimed at improving outcomes and reducing health disparities. Her research centers on data integration, disease gene discovery, and phenotype exploration supported by advanced machine learning and Artificial Intelligence methodologies. MUSC leaders highlighted her ability to translate technology into clinical practice and to train the next generation of innovators. The article also notes personal details: Ritchie is a first-generation college graduate from Pittsburgh, enjoys travel and sports, hosts podcasts, and will relocate with her husband and two children.

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