Columbia University Medical Center
My research is at the intersection of mHealth, data science, and personal informatics. I design and develop tools that help researchers better understand diseases, particularly enigmatic conditions, and help patients better understand and manage their illness. Currently, I am researching the use of mobile health tools in understanding the patient experience, or phenotype(s), of endometriosis and symptoms related to the menstrual cycle.
My current projects include: 1) Phendo, a study to track, manage, and understand endometriosis. 2) ENDL, a study to understand the relationship between pain, the menstrual cycle, and quality of life. I am advised by Dr. Noemie Elhadad.
Mckillop M, English S, Elhadad N. Towards Precision Medicine for Endometriosis: Dynamic Disease Characterization Through Temporal Tracking of Patient Reported Outcomes. 13th World Congress on Endometriosis. 2017.
McKillop M, Ryan P, Elhadad N. Exploration of the Epidemiology of Endometriosis. OHDSI 2015 Symposium.