Brandwell Mwangi is a data-driven public health specialist with vast experience in providing end to end technical assistance to the Ministry of Health in infectious diseases, majorly HIV landscape, and lung health. He works with the Clinton Health Access Initiative (CHAI), where his expertise lies in transforming data into actionable insights and driving impactful public health initiatives to completion.
Brandwell is a member of the Task Team on HIV Estimation and Global AIDS Monitoring (GAM), which develops national and subnational HIV estimates. Additionally, he serves on the Kenya Advanced HIV Disease (AHD) Committee of Experts, providing critical support to improve access to CD4 screening, opportunistic infection (OI) diagnostics, and clinical management, enhancing health outcomes for individuals with advanced HIV disease.
Brandwell is currently pursuing an MSc in Public Health Data Science at the University of Nairobi. His research focuses on leveraging machine learning to predict HIV treatment interruption, aiming to enhance retention in care and improve treatment outcomes in Kenya.
Driven by a passion for improving global health, Brandwell is committed to using data and technology to promote equitable access to health services and advance public health outcomes.
Brandwell is a member of the Task Team on HIV Estimation and Global AIDS Monitoring (GAM), which develops national and subnational HIV estimates. Additionally, he serves on the Kenya Advanced HIV Disease (AHD) Committee of Experts, providing critical support to improve access to CD4 screening, opportunistic infection (OI) diagnostics, and clinical management, enhancing health outcomes for individuals with advanced HIV disease.
Brandwell is currently pursuing an MSc in Public Health Data Science at the University of Nairobi. His research focuses on leveraging machine learning to predict HIV treatment interruption, aiming to enhance retention in care and improve treatment outcomes in Kenya.
Driven by a passion for improving global health, Brandwell is committed to using data and technology to promote equitable access to health services and advance public health outcomes.
Data Science