Ipek Ensari

assistant professor, filmmaker

New York, US

mobile health technology learning machines women's health endometriosis

Assistant Professor of Artificial Intelligence and Human Health, Mount Sinai School of Medicine, women's health researcher, Co-writer/director of Endomic, Sonic Pi enthusiast.

Previously, Ipek was an Associate Research Scientist at the Data Science Institute at Columbia University in New York City. She uses mHealth and machine learning-based approaches to investigate physical activity for self-management of chronic symptoms like pain and anxiety. Ipek focuses on women’s conditions (endometriosis) and populations that are at greater risk for inequities with respect to adequate healthcare access (e.g., LGBTQ, racial/ethnic minorities). Her research revolves around the philosophy of “digital data for good”- maximizing the health benefits provided to the user/patient from their digital data obtained through in-the-wild sensing and self-tracking via mHealth apps. This involves taking a user-centered approach to the design of the mHealth technology, as well as provision of interpretable communication of their digital data.