Marylyn D. Ritchie, PhD, FACMI
Principal Investigator
Chief AI Officer, MUSC
Director, MUSC AI Center for Health Innovation and Informatics
SmartState Endowed Chair of Translational Biomedical Informatics
Associate Dean of AI, College of Medicine
Director, Division for Biomedical Informatics and AI
Medical University of South Carolina
22 Westedge Street, Suite 200 WG213F
Charleston, SC 29403
Dr. Marylyn D. Ritchie is the Chief Artificial Intelligence Officer for the MUSC Enterprise, Director of the MUSC AI Center for Health Innovation and Informatics, as well as Associate Dean for Artificial Intelligence and Director of the Division of Computational Health Sciences and Al in the College of Medicine at the Medical University of South Carolina (MUSC). Dr. Ritchie is also the SmartState Endowed Chair in Translational Biomedical Informatics. Dr. Ritchie is an expert in translational bioinformatics, with a focus on developing, applying, and disseminating algorithms, methods, and tools integrating electronic health records (EHR) with genomics. Dr. Ritchie has over 20 years of experience in translational bioinformatics and has authored over 500 publications. Dr. Ritchie was appointed as a Fellow of the American College of Medical Informatics (ACMI) in 2020. Dr. Ritchie was elected as a member of the National Academy of Medicine in 2021. Dr. Ritchie was a member of the ELAM class of 2022.
In her new role, Dr. Ritchie is developing the AI strategy across MUSC. She is leading enterprise-wide strategies to harness AI in support of the institution’s tripartite mission of education, research, and patient care. She is focused on building collaborative AI initiatives that connect clinicians, faculty, industry partners, staff, students, and trainees to drive innovation at MUSC.
Education
1999, BS University of Pittsburgh at Johnstown (Biology)
2002, MS Vanderbilt University (Applied Statistics)
2004, PhD Vanderbilt University (Statistical Genetics)
Honors and Awards
1999 Graduated Summa Cum Laude, University of Pittsburgh, Johnstown
2000- 2002 NIH Breast Cancer Research Training Grant
2001 Vanderbilt University, Charles R. Park Student Travel Award
2002- 2003 NLM Bioinformatics Training Grant
2002 Vanderbilt University Graduate School Travel Grant
2003 Vanderbilt University Dissertation Enhancement Grant
2003 Vanderbilt University Graduate School Travel Grant
2003 Vanderbilt University, Charles R. Park Student Travel Award
2004 Best Paper Award, Genetic and Evolutionary Computation Conference
2006 Genome Technology, Rising Young Investigator Award
2010 Sloan Research Fellow
2011-2014 KAVLI Frontiers in Science Fellow, National Academy of Science
2014 Member, Thomas Reuters, Most Highly Cited Researchers
2015 Paul Berg Professor of Biochemistry and Molecular Biology, Penn State University
2016 E. Allen Deaver, High Potential Leadership Fellow, Geisinger Health System
2017 First Place, AMIA “Why Informatics” Video Contest
2020 Group on Information Resources (GIR) Excellence Award, American Association of Medical Colleges (AAMC)
– for our team’s PennChart Genomics Project
2020 Elected as a fellow in the American College of Medical Informatics (ACMI)
2021 Executive Leadership in Academic Medicine (ELAM) fellow
2021 Elected into the National Academy of Medicine (NAM)
2022 Edward Rose, M.D. and Elizabeth Kirk Rose, M.D. Professor, University of Pennsylvania, Perelman School of Medicine
Memberships in Professional Societies
American Association for the Advancement of Science (AAAS)
American Society of Human Genetics (ASHG)
International Society for Computational Biology (ISCB)
American Medical Informatics Association (AMIA)
American College of Medical Informatics (ACMI)
National Academy of Medicine (NAM)
Major Research Interests
Computational Genomics Genetic Epidemiology
Translational Bioinformatics Statistical Genetics
Epistasis Systems Genomics
Pharmacogenomics Computational Biology
Big Data Biomedical Informatics
Evolutionary Computation Cardiovascular Disease