Biography

I am a dynamic digital health professional with a strong foundation in computer science and a growing specialization in big data, data science, and artificial intelligence applications in tuberculosis care and control. With a passion for leveraging technology to transform healthcare delivery, I have extensive experience in implementing, managing, and maintaining digital health systems to support efficient and scalable service delivery across resource-limited settings. My work bridges the gap between technical innovation and public health impact, ensuring that digital tools are contextually relevant in exploring how predictive analytics, machine learning, and integrated data platforms can improve TB treatment adherence.

Expertise

TB Diagnostics
Public Health

Key Impacts

Predicting loss to follow-up among people with TB in Karamoja, Northern Uganda: A machine learning approach

Machine learning models can effectively identify TB patients at risk of loss to follow-up in resource-limited settings, offering an opportunity for targeted support and interventions for those most at risk.

Source: Conference 2024