Noemie Elhadad, PhD, Associate Professor Biomedical Informatic, Computer Science, Columbia Data Science Institute
Sylvia English, MS. Project Manager
Mollie McKillop, MS, MA. PhD Student
Jhumka Gupta, ScD, MPH. Social Epidemiologist
Sharon Lipsky Gorman, MS. Data Scientist
The Phendo app is available to those over the age of 13 who have had at least one menstrual period in their lifetime. The app has been built through partnering with women with endometriosis throughout the research process, ensuring Phendo is customized to capture the experience of living with endometriosis. Researchers have also included an in-app link to the medical history survey EPHect, created by the World Endometriosis Research Foundation. The purpose of this project is to bridge the gap between what endometriosis patients actually experience and how doctors characterize the disease, through an unprecedented dataset of day-to-day observations, as reported directly by patients about their experience. Using a citizen science approach, the research team have fostered a community, by utilizing social media to ensure the project remains accessible to patients contributing their time by tracking their experience of living with endometriosis.
Dr. Elhadad is an Associate Professor of Biomedical Informatics and Computer Science at Columbia University. Her work is at the intersection of medicine, big data, and more recently mobile health. Dr. Elhadad holds a PhD in Computer Science from Columbia University. She was the Chair of the Health Analytics Center, part of the Columbia University Data Science Institute from 2013 to 2016. She was elected Fellow of the American College of Medical Informatics in 2016. Dr. Elhadad has more than 100 peer-reviewed publications in the fields of biomedical informatics and data science.