Tatenda Duncan Kavu

Posted on by Isabel Radoli

Tatenda Duncan Kavu

Post-Doctoral Research Scientist

ABOUT Tatenda Duncan Kavu

Dr. Tatenda Duncan Kavu works at the intersection of artificial intelligence, data science, and health research. His work focuses on applying AI to strengthen healthcare systems, improve diagnostics, and support data-driven decision-making in public health. His research interests span machine learning, data mining, natural language processing, and intelligent systems design.

Dr. Kavu has led and contributed to projects developing AI-enabled diagnostic assistants, generative AI models for mental health screening, and policy analysis platforms that integrate evidence into decision-making. Before joining APHRC, he held academic and research positions across several African institutions, combining teaching, research, and applied innovation. He continues to advance work on trustworthy and contextually grounded AI systems that address the needs of populations in low-resource settings.

Tatenda has over 10 years of experience in academia and a background in computer science, holding a Ph.D. in the field. He has worked as a lecturer, consultant, and, most recently, as a postdoctoral fellow on a project funded by the South African Medical Research Council. He has also conducted research and published work in natural language processing, recommender algorithms, and computer vision.