Noémie Elhadad is an Associate Professor of Biomedical Informatics, affiliated with Computer Science Department and Data Science Institute at Columbia University. Her research is at the intersection of machine learning, technology, and medicine. She leads Even, the Data-Powered Women’s Health Research Initiative at Columbia University as well as the Citizen Endo project. Both are research initiatives with the goal of designing novel data science approaches to advance the field of women’s health.
- McKillop M, Mamykina L, Elhadad N. Designing in the Dark: Eliciting Self-Tracking Dimensions for Understanding Enigmatic Disease. 2018. ACM CHI Conference on Human Factors in Computing Systems. PDF.
- McKillop, M., Voigt, N., Schnall, R., & Elhadad, N. (2016). Exploring self-tracking as a participatory research activity among women with endometriosis .J Participat Med, 8, e17. [HTML]