Dr. Kadija Ferryman is a cultural anthropologist who studies the social, cultural, and ethical implications of health information technologies. Specifically, her research examines the impacts of health risk prediction technologies as they relate to marginalized groups. She is currently a Researcher at the Data & Society Research Institute in New York where she leads the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine. She is also a Mozilla Fellow and will be examining how health information technologies address health disparities.
She earned a BA in Anthropology from Yale University, and a PhD in the 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 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.