Diana Rosenthal

Diana Margot Rosenthal is an Assistant Professor/Faculty Fellow at NYU’s School of Global Public Health, Department of Social and Behavioral Sciences, and a fellow in the NYU Provost’s Postdoctoral Fellowship Program. She is an NYU alum with an MPA in Health Policy and Management from the Robert F. Wagner School of Public Service and a BA from the Gallatin School of Individualized Study. After receiving her MSc from the London School of Hygiene and Tropical Medicine, she earned her PhD in Inclusion Health: Population, Policy and Practice from the University College London Great Ormond Street Institute of Child Health. Her research interests include inclusion health, co-production and community-based participatory research (CBPR), health policy, implementation science, environmental health, citizen science, mental health, shared decision making, transdisciplinary approaches, demography and social epidemiology.

Diana uses transdisciplinary approaches involving evidence-based, translational methods to investigate health disparities and inequities in marginalized populations. Her current research is a collaboration with families with children who are experiencing homelessness/have experienced homelessness. Using mixed methods and CBPR, this multi-level, four-phase pilot project aims to determine what barriers exist to accessing specific health services (e.g. mental health) and optimizing health and wellbeing for families with children under age five who are experiencing homelessness/have experienced homelessness in the shelter system in New York City. The research will be co-developed with these families, who will learn transferrable skills while compensated for their time. An objective will be to improve the quality and quantity of data currently lacking for this vulnerable population. They will also co-develop a translational intervention output of their choice to deliver to key decision-makers and help foster transformational change and participatory action, addressing such barriers. The multiphase optimization strategy (MOST) “Preparation” phase will be utilized to systematically guide the co-developing of the intervention components to improve their implementability from the outset.