Sylvia Kiwuwa Muyingo

ABOUT Sylvia Kiwuwa Muyingo

Sylvia holds a PhD in Biometry from the University of Tampere in Finland, a Masters in Medical Statistics from the London School of Hygiene and Tropical Medicine, UK as a Tropical Epidemiology Fellow, and a BSc in (Economics) Statistics from Makerere University, Uganda.

Before joining, she worked as a statistician at the Medical Research Council/London School of Hygiene and Tropical Medicine in Uganda, where she was involved in designing and analyzing clinical trials and observational studies of HIV treatment and care. From 2008-2012, She worked as a Researcher in the Biometry Group at the University of Tampere, Finland, funded by the Academy of Finland, and led the development of innovative methods for analyzing medication adherence with application to resource-limited settings.

Her work includes designing and applying statistical and data science tools to clinical and epidemiological studies in Africa to improve lives in our communities, promoting equitable and responsible data access, use, and evidence decision-making. In the last 3 years, her research has focused on applying novel statistics and data science tools to understand health disparities and outcomes in research, knowledge translation, and developing population health metrics in the WHO AFRO region and the AI4D Global South projects.

Applying Statistics daily allows her to explore, discover, and learn something new! Her passions lie in finding solutions that impact real public health problems related to health disparities, disease distribution, and outcomes, particularly in Women’s well-being, using hierarchical and dependent data models, Clustering, Time-to-event models, and Causal inference in the viral epidemiology of HIV and COVID-19 and their associations with social comorbidities like mental health and gender-based violence.

In 2018, she was selected as a fellow of the AREF Excell Researcher and Leadership Development program in this way promoting collaborative opportunities through partnerships. She was also the first fellow to be awarded a TEG fellowship in Medical Statistics at the London School of Hygiene and Tropical Medicine, UK.