Biostatistics Results

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.

How biostatistics can improve cancer care, pediatric heart health and health equity

A University of Michigan researcher explains how data, teamwork and statistical science can reveal disparities, guide care and improve health outcomes

University of Michigan biostatistician Mousumi Banerjee discusses her journey from Kolkata and mathematics to public health, cancer research, pediatric heart care and health equity. In this Q&A, she explains how biostatistics, machine learning and global partnerships can turn complex health data into evidence that improves care and lives for communities.

U-M researchers awarded NIH Replication Prize for work to strengthen confidence in biobank-based discoveries

Matthew Zawistowski, associate professor of biostatistics, led the Michigan Public Health team behind a new reference tool that helps researchers validate genetic findings across major biobanks.

U-M School of Public Health professor Peter Song named 2025 AAAS fellow

Biostatistics professor Peter Song has been elected to the American Association for the Advancement of Science's 2025 class, recognized for his contributions to statistical methodology and public health data science.

AI tool can predict heart failure from genetic and health record data

A University of Michigan study demonstrates that combining genetic and clinical data for an individual patient can help predict heart failure, the world’s leading cause of hospitalization, a decade before it’s diagnosed.

On the Heights: December 2025

Michigan Public Health faculty and researchers advance digital health research, examine global school feeding programs, and share expertise on healthcare spending, noise pollution, and the power of public health storytelling.