Ensari lab is currently recruiting graduate students and research assistants. If you're interested in joining the lab, please email Dr. Ipek Ensari.
Our team is currently focusing on three exciting research projects that aim to improve the way we approach measurement of chronic symptoms and disease management in women's health:
We are using functional data methods and distributed lag models on patient-generated health data to create and evaluate patient-reported outcome measures for chronic symptoms such as pain and quality of life in a mobile health (mHealth) setting.
Leveraging data from electronic health records (EHRs) and self-tracked mobile data from mHealth apps, we are identifying phenotypes and endotypes within women's reproductive disorders and other heterogeneous diseases.
We are designing and evaluating reinforcement learning based mHealth-delivered behavioral recommender systems for chronic symptom self-management