Paul Mwaniki is a lead statistician at the KEMRI–Wellcome Trust Research Programme in Nairobi with 11 years of experience applying biostatistics and machine learning to improve healthcare in low-income settings. He holds a PhD in Biostatistics, an MSc in Medical Statistics from LSHTM, and a BSc in Applied Statistics with IT, combining strong methodological training with practical public-health impact. At KEMRI he progressed from assistant research officer to lead statistician, bringing hands-on experience in epidemiological studies and analytics for infectious disease research. Paul specializes in translating complex ML and statistical methods into actionable insights for programmatic decision-making in resource-limited environments. Colleagues describe him as someone who bridges rigorous research and operational needs, often embedding reproducible, data-driven workflows into field studies. He is based in Nairobi and focused on scalable analytics that improve healthcare delivery where it matters most.
10 years of coding experience
1 year of employment as a software developer
Master's Degree, Medical Statistics, Master's Degree, Medical Statistics at London School of Hygiene and Tropical Medicine, U. of London
BSc Applied Statistics with IT, BSc Applied Statistics with IT at MASENO UNIVERSITY
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of Nairobi
A data management utility package to interface with REDCap data
Contributions:2 pushes in 2 years 11 months
data-managementredcap
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Paul Mwaniki - Lead Stastician at KEMRI - Wellcome Trust