Dr. Kadija Ferryman is an anthropologist who studies race, ethics, and policy in health technology. Specifically, her research examines how clinical race correction, algorithmic risk scoring, and risk prediction in genomics, artificial intelligence, and other digital technologies affect racial health inequities. She is currently Core Faculty at the Johns Hopkins Berman Institute of Bioethics and Assistant Professor in the Department of Health Policy and Management at the Bloomberg School of Public Health at Johns Hopkins University. She completed postdoctoral training at the Data & Society Research Institute in New York, where she led the Fairness in Precision Medicine research study, which examined the potential for bias and discrimination in predictive precision medicine.