Zhang Zhang, Ph.D., MSc, is a post-doctoral fellow in the T32 training program in the Department of Health Policy and Management at Johns Hopkins Bloomberg School of Public Health, and an Associate Trainee at Hopkins Business of Health Initiative (HBHI). Her research aims to improve access and quality of care for complex medical conditions and to promote healthy aging. Dr. Zhang’s research focuses on (1) evaluating the impact of digital health technology innovation (e.g., telehealth, health information systems, and Artificial Intelligence) and related policies on health access, health behaviors, and health outcomes; (2) value-based insurance payment reform (e.g., Medicare Advantage) on early diagnosis and prevention-oriented care for brain health disorders, including cognitive impairment and dementia. Her expertise concentrates on advanced causal inference methods in quantitative modeling and applied economics approaches for randomized (RCT) and non-randomized (quasi-experimental) designs in the evaluation of policy and clinical interventions.

Prior to coming to Hopkins, she received her Ph.D. in Health Economics from the University of North Carolina at Chapel Hill. She was a T32 predoctoral trainee in population science at the Carolina Population Center.  She earned her MSc in Health Policy, Planning, and Financing from the London School of Economics (LSE) & London School of Hygiene and Tropical Medicine (LSHTM). She has obtained research and work experience in designing interventions, policies, and strategies for long-term care systems and service delivery at the World Bank Group and the World Health Organization.

Research interests: Economics, Aging, Health Care Policy, Health Services Research, Digital Health Technology Innovation, Value-based Care