Bio

Eugenia Alleva, MD, MSc, is a postdoctoral research fellow at the Hasso Plattner Institute for Digital Health at Mount Sinai and the Windreich Department of AI and Human Health at the Icahn School of Medicine, working under the mentorship of Dr. Ensari. Her research focuses on using digital health technologies and applying machine learning methods and natural language processing on large multimodal datasets to study the effect of reproductive risk factors on women’s health.

Dr Alleva received her medical training from the San Raffaele University in Milan, Italy, where she gained both clinical and research experience focusing on endometriosis and fertility. She then pursued a Master’s Degree in Digital Health at the Hasso Plattner Institute at University Potsdam, Germany, where she gained machine learning and software engineering skills. During her Master’s degree she worked as a research assistant on a project for detecting posture from sensor data. Moreover, as part of the Master’s Project and Thesis work, she co-developed two digital health applications, one aimed at increasing compliance to digital therapeutics through nudging methods, and the other one to help application developers to easily integrate, perform and analyze micro-randomized trials to enable evidence-based digital health app development."