Tumai MUZOREWA, from Zimbabwe, is a human geneticist and PhD candidate at the University of the Witwatersrand who is advancing precision public health across Africa. Her research develops Africa-specific risk prediction models for cardiometabolic diseases (CMDs) by integrating African ancestry genetic data with lifestyle and environmental factors using AI. Working with data from over 12,000 individuals across east, west, and southern Africa, she challenges Eurocentric approaches that leave African populations underserved by global health innovation.
CMDs disproportionately affect African women, yet current Eurocentric risk prediction models perform poorly in African populations. This means African women face a higher disease burden while being underserved by tools designed to predict and prevent these conditions through targeted interventions. Tumai's research directly addresses this gap by developing models tailored to African populations. By enabling health systems to identify high-risk individuals before diseases progress, her work supports a shift from costly late-stage treatment to prevention. This has profound implications for maternal health: healthier mothers lead to healthier pregnancies, safer deliveries, and better outcomes for children.
As an affiliate of the Zimbabwe Young Academy of Science (2025–2030) and a 2026 fellow of the Falling Walls Foundation's Female Science Talents Intensive Track, she amplifies advocacy for African-led precision health innovation. As DS-I Africa 2026 Outreach and Partnership co-chair, she fosters strategic collaborations that connect data science and health organizations across Africa. She mentors scientists from late high school to postgraduate level in Zimbabwe, nurturing the next generation committed to health equity.
