My research is at the intersection of mHealth, citizen science, and personal informatics. I am advised by Dr. Noémie Elhadad, and I am a Big Data to Knowledge (BD2K) trainee as well as a Columbia University Technology Venture Fellow. I am also the medical campus representative for the Health Tech Assembly. I earned my B.A. degree at the University of California, Berkeley in Public Health and Pre-medical Science, my M.P.H. in Biostatistics from Columbia University, and my M.A. in Biomedical Informatics from Columbia University.
I develop tools that help researchers better understand diseases, particularly enigmatic conditions, and help patients better understand and manage their illness. Currently, I am developing mobile health tools that can help us better understand 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 endometriosis pain, the menstrual cycle, and quality of life.
McKillop M, Voigt N, Schnall R, Elhadad N. Exploring Self-Tracking as a Participatory Research Activity Among Women with Endometriosis. 2016. Journal of Participatory Medicine. 8:e17. HTML.
McKillop M, Polubriaginof F, Weng C. Examination of Temporal ICD Coding Bias Related to Acute Diseases. AMIA 2015 Fall Symposium. PDF.
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. PDF.
McKillop M, Seckin T, Elhadad N. Qualitative Assessment of Women’s Attitudes Towards a Tracking App for Phenotyping Endometriosis. 2016 AMIA Annual Symposium. PDF.
McKillop M, Ryan P, Elhadad N. Exploration of the Epidemiology of Endometriosis. OHDSI 2015 Symposium. PDF.
Sykes A, Mckillop M. Measuring Influence of Company-sponsored Manuscripts. Current Medical Research and Opinion. Vol. 30. 2014.
Department of Biomedical Informatics
Columbia University Medical Center
622 W. 168th Street, Presbyterian Building 20th Floor
New York, NY 10032