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 current research focuses on technology innovation (e.g. digital health and health information systems) and the policies to improve health service delivery and outcome for complex health conditions. She is also interested in life-course aging, long-term care and integrated care for older adults. Her expertise concentrates on 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 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 holds dual bachelor's degrees from Peking University. 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.