Dr. Obeid is a Professor and SmartState Endowed Chair in Biomedical Informatics in the Department of Public Health Sciences at the Medical University of South Carolina (MUSC) where he serves as Assistant Vice President for Research on AI Strategy and Research Intelligence. Dr. Obeid is a pediatrician who was formally trained in Medical Informatics at the Division of Health Sciences and Technology, a joint Harvard-MIT fellowship program.
During his tenure at MUSC, he led the development of several academic and operational research informatics initiatives including the electronic health records (EHR) Research Data Warehouse (RDW), REDCap, and many others. He has served as principal investigator, co-investigator, and informatics leader on numerous federally funded projects. At the national level, he led several working groups related to translational research informatics.
His research interests include artificial intelligence (AI), specifically, deep learning and large language models applications using EHR data for e-phenotyping and predictive modeling with focus on clinical text mining. Other research interests include natural language processing (NLP), electronic consents, secondary use of EHR data/data warehousing, and biomedical ontologies.
Dr. Obeid is the co-founder of the AI Hub at MUSC. He also serves as the director of the Cancer Integrated Data Enabled Resource (CIDER), which integrates a variety of multimodal data, and provides several services to researchers including, consultations, feasibility queries, brokered access to integrated data, and AI and NLP research services. He is the founder and director of two courses in Biomedical Informatics (MCR-746: Informatics and Data Management for Clinical Research and BDSI-712: Translational Informatics).