Dr. Kadija Ferryman is a cultural anthropologist who studies the social, cultural, and ethical implications of health information technologies. Specifically, her research examines how genomics, digital medical records, artificial intelligence, and other technologies impact racial disparities in health. As a Postdoctoral Scholar at the Data & Society Research Institute in New York, she led the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine.
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. Dr. Ferryman is a member of the Institutional Review Board for the All of Research Program, a Mozilla Open Science Fellow, and an Affiliate at the Center for Critical Race and Digital Studies. She has published research in journals such as Journal of the American Medical Informatics Association, Paediatric and Perinatal Epidemiology, the Journal of Health Care for the Poor and Underserved, European Journal of Human Genetics, and Genetics in Medicine. Dr. Ferryman’s research has been featured in multiple publications including Nature, STAT, and The Financial Times.
Research Interests
- Social, cultural, and ethical implications of health information technologies; specifically, how genomics, digital medical records, artificial intelligence, and other technologies impact racial disparities in health
Education
- PhD, Anthropology, The New School for Social Research
- BA, Anthropology, Yale University