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Personal profile

Biography

Alice Kamau is a Biostatistician with more than 10 years of research experience, specialising in leveraging data-driven insights to advance malaria research, particularly in low- and middle-income countries. Her expertise lies in statistical analysis, epidemiology, and infectious disease modelling. In her current role as a Research Fellow, she is particularly interested in applying mathematical modelling techniques to explore optimal combinations of malaria control interventions.
Previously, Alice worked at the Kenya Medical Research Institute-Wellcome Trust Research Programme, where she used health facility data to characterise malaria epidemiology. These studies have provided valuable insights into the evolving age-pattern of malaria burden, which is critical for assessing the impact of vaccines and chemoprevention strategies. The findings from this research have contributed to refining mathematical model parameters and played a role in global discussions on the feasibility of using routinely collected health data for malaria control planning. Beyond this, Alice has led research projects examining spatial heterogeneity in malaria transmission.
Alice serves as a global hub representative on the Liverpool School of Tropical Medicine (LSTM) Research Committee and as a research committee representative for the LSTM Early-Mid Career Research Network.

Research interests

Alice’s research interests revolve around co-developing and expanding mathematical models in collaboration with decision-makers to ensure their practical applicability in public health policy and implementation. She analyses geographical and demographic disparities in disease burden to identify transmission hotspots and develop targeted intervention strategies. This approach ensures that resources are allocated efficiently, maximising the impact of malaria control efforts. It also empowers policymakers with actionable, data-driven insights to improve disease control strategies.

Teaching

Alice is committed to capacity building and mentorship, supervising master’s students in Kenya and teaching introduction to statistics and R workshops.

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