Vaccines Results

Donglin Zeng

University of Michigan biostatistics researcher turns complex health data into better treatment decisions

Honored with the 2026 Excellence in Research Award, Donglin Zeng develops tools that help clinicians identify more effective treatments for individual patients and guide public health decisions

University of Michigan biostatistician Donglin Zeng transforms complex health data into precision medicine tools that help clinicians personalize treatments and improve public health decisions. Honored with the 2026 Excellence in Research Award, his work blends statistics, machine learning and patient care to advance evidence-based medicine, vaccine research and healthier outcomes.

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On the Heights: July 2026

Stay informed with the latest from the University of Michigan School of Public Health community in our monthly digest. Faculty expertise in action, new research, policy advocacy, and community engagement highlight our continued commitment to advancing public health and creating positive change.

Illustration of a vaccine

Building a better vaccine: Study IDs expanded, role of flu antibodies in preventing transmission

Findings suggest future vaccines use natural antibodies to target both infection and spread

Today’s influenza vaccines primarily prevent infection in individuals, but new research led by the University of Michigan and the Institut Pasteur suggests that incorporating antibodies generated after infection could lead to more powerful vaccines by also reducing person-to-person transmission.