Mbithe Nzomo is a doctoral researcher in Computer Science at the University of Cape Town with a decade of experience applying AI to explainable health risk prediction and decision support using multimodal, heterogeneous data. She blends Semantic Web technologies—ontologies and knowledge graphs—with machine learning and Bayesian networks to build hybrid AI systems that enhance clinical interpretability. Her research has practical impact, recently informing World Bank–UNHCR work on how forced displacement and climate shocks influence malaria vulnerability during a World Bank Group Africa Fellowship. Prior industry roles at EY and Andela sharpened her product-focused engineering skills and emerging-technology delivery. An MSc (Distinction) in Advanced Computer Science from the University of Manchester and multiple competitive fellowships and awards underscore her technical excellence and leadership in AI for global health.
10 years of coding experience
3 years of employment as a software developer
Master of Science (MSc), Advanced Computer Science, Distinction, Master of Science (MSc), Advanced Computer Science, Distinction at The University of Manchester
Bachelor of Science (BSc), Informatics, Bachelor of Science (BSc), Informatics at Strathmore University
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