Dr. Kadija Ferryman is a cultural anthropologist who studies health risk as a social, cultural, and ethical phenomenon. Specifically, her research examines the impacts of health risk prediction through information technologies such as genomics, digital medical records, and artificial intelligence on marginalized groups. She is currently a Postdoctoral Scholar at the Data & Society Research Institute in New York and leads the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine. She is a Mozilla Open Science Fellow and will be conducting an ethnography examining the origins of the open health movement and the history of electronic health records during the fellowship.
She earned a BA in Anthropology from Yale University and a PhD in Anthropology from The New School for Social Research. Before completing her PhD, she was a policy researcher at the Urban Institute where she studied how housing and neighborhoods impact well-being, specifically the effects of public housing redevelopment on children, families, and older adults. Ferryman is a member of the Institutional Review Board for the All of Us Research Program and she has published research in journals such as Journal of Health Care for the Poor and Underserved, European Journal of Human Genetics, and Genetics in Medicine.