Ipek is Assistant Professor of Artificial Intelligence and Human Health at the Icahn School of Medicine and Hasso Plattner Institute for Digital Health at Mount Sinai. Previously, she was an Associate Research Scientist at the Data Science Institute at Columbia University in New York City. Her research investigates mHealth technologies and machine learning methods to develop digital patient-reported outcome measures, and self-management tools for women’s  reproductive health and disorders (e.g., 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.