Dr. Jihad S. 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). 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. He served as the Associate Director of the Biomedical Informatics Center (BMIC) for over a decade. Since his arrival at MUSC, 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. Dr. Obeid 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). 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 a focus on clinical text mining. Dr. Obeid is the co-founder of the AI Hub at MUSC. He 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.
Dr. Jihad S. 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). 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. He served as the Associate Director of the Biomedical Informatics Center (BMIC) for over a decade. Since his arrival at MUSC, 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. Dr. Obeid 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). 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 a focus on clinical text mining. Dr. Obeid is the co-founder of the AI Hub at MUSC. He 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.