Audrey Naledi Masizana

Audrey Naledi Masizana is a Senior Lecturer in the Department of Computer Science at the University of Botswana, where she has served as Head of Department. She is currently an International Scholar with the Center for Global Health, engaged in data science training and research in healthcare. Her work is closely aligned with global health initiatives, particularly through collaborations with CHOP, the Botswana-UPenn Partnership, and the Ministry of Health in Botswana.

Her research interests lie at the intersection of computer science and global health, with a strong focus on Health Informatics, Data Science, and Digital Health Solutions. She has pioneered projects in mobile health (mHealth), healthcare data interoperability, IoT-based monitoring, and AI-driven decision support systems for HIV/AIDS care. Her leadership in the Microsoft Digital Inclusion projects and the establishment of the e-Health Research Unit in 2012 underscores her commitment to leveraging technology for public health impact.

The analysis of her recent publications reveals a consistent trajectory in applying computational methods—such as clustering, simulation, and natural language processing—to real-world health challenges, especially in resource-limited settings. Her work emphasizes data usability, accessibility, and interoperability across healthcare systems in Botswana.

She has not been awarded any scientific awards mentioned in the text. Audrey Naledi Masizana has led and co-led multiple research projects, including as Principal Investigator on a CHOP-collaborated study evaluating healthcare data flow in Botswana. She has not received any grants explicitly mentioned, but her project leadership indicates secured funding. She mentors students and researchers through her role in the e-Health Research Unit and her academic position, though specific advisees are not listed.

She is actively involved in the e-Health Research Unit at the University of Botswana, which fosters collaboration with NGOs and government agencies. Her team works on themes including data warehousing, mining, IoT, and interoperability, aiming to improve clinical decision-making and healthcare delivery through digital innovation.