Qingfeng Li

Qingfeng Li is an Assistant Professor at the Johns Hopkins Bloomberg School of Public Health, Department of International Health. He is affiliated with the William H. Gates Sr. Institute for Population and Reproductive Health and the Johns Hopkins International Injury Research Unit (IIRU). His work bridges public health, artificial intelligence, and global development, with field research in Bangladesh, Malaysia, Vietnam, China, and the United States.

Education:

• PhD, Johns Hopkins Bloomberg School of Public Health, 2013
• MHS, Johns Hopkins Bloomberg School of Public Health, 2013
• MA, Peking University, 2009

Dr. Li's research focuses on injury prevention, maternal health, and health systems evaluation using advanced methodologies such as machine learning, agent-based modeling, and spatiotemporal big data analysis. He develops AI models to leverage government statistics, electronic health records, and survey data for policy-relevant insights in low- and middle-income countries.

His recent publications reflect a strong trajectory in applying computational methods to global health challenges, including road safety, maternal morbidity, vaccine allocation, and patient-centered care. Key themes include health equity, data bias adjustment, and capacity building in trauma research, particularly in Vietnam and China.

Scientific Awards:

• Excellence in Teaching, 'Evaluation of Safety Interventions', JHSPH 2017
• Extraordinary Leadership, Bloomberg Philanthropies Global Road Safety Programme, 2014
• School-wide Endowed Student Support Fund, JHSPH 2012 and 2011
• Young J. Kim Scholarship, 2012 and 2010
• Kocherlakota Award, Department of Biostatistics, JHSPH 2010

Dr. Li teaches courses such as 'Health Systems Research and Evaluation in Developing Countries', 'Systems Science in Public Health', and 'Transforming Health Systems Research through Artificial Intelligence'. He has advised numerous research projects and secured international collaborations, particularly through the JHU-Hanoi TRIP program. His current projects include the 'Saving of Lives from Drowning' initiative and research on AI-driven maternal health disparities in Maryland.

He leads a research network focused on trauma and injury prevention, with active collaborations in Vietnam, China, and sub-Saharan Africa, contributing to policy and capacity development in public health systems.