Kadija Ferryman is a cultural anthropologist whose research centers on how new forms of health data are used to make and support moral and ethical claims. She has conducted research on early adopters of whole genome sequencing, and on the ways that genetics can be used to address racial disparities in health. She is currently the principal investigator, along with danah boyd, on the Fairness in Precision Medicine study, which examines the possibilities for bias and discriminatory outcomes of big data health research. 

Dr. Ferryman holds degrees in anthropology from Yale (BA) and the New School for Social Research (PhD).

Currently, Dr. Ferryman is a Postdoctoral Scholar at the Data & Society Research Institute. 

Before completing her PhD, she was a public policy researcher at the Urban Institute in Washington, DC, where she studied housing discrimination and public housing redevelopment.