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For me, the true spirit of public health is staying focused on the essential things—coming together for the greater good, working in teams on scientific questions, and worrying less about things like grades and more about the chance to learn together and advance community health.
For PhD student Katherine Li, statistics are not just numbers on a screen but resources to better understand how to improve health. At Michigan, she is combining her health interests and math skills to ensure underrepresented members of the community are included in health and policy decisions.
Lu Wang’s research spans across many different disciplines, from healthcare to environmental health. This nexus of interests and research areas has led to critical work in personalized and precision health care, as well as a new opportunity to serve as co-lead of a new School of Public Health initiative aimed at applying this work to creating healthy and equitable cities.
Biostatistics master’s student Jenna Bedrava loves applying statistics to solve public health problems. Only recently did she discover she could have a career doing just that. Now she works on wastewater-based COVID surveillance and other high-impact research projects.
Precision health uses genetic and other biological data to bring traditional public health strategies to new levels. But precision health is about much more than genetics, says Sebastian Zöllner, professor of Biostatistics and co-director of the Precision Health initiative at the University of Michigan.
Alicia Dominguez found biostatistics as a way to merge her quantitative skills with public health issues and topics she is passionate about.