Lillian Muyama is an applied machine learning researcher and educator with nine years of experience bridging data science and public health initiatives in Uganda. Currently an Assistant Lecturer at Makerere University and a Postdoctoral Researcher at the Makerere University Centre for Artificial Intelligence, she completed a PhD in Computer Science at Université Denis Diderot after contributing as a data scientist on the AirQo air-quality project. Her background spans industry project management and graduate training, giving her a rare combination of academic rigor and practical product delivery in resource-constrained settings. Lillian focuses on ML methods that advance healthcare, with hands-on experience deploying data-driven solutions for environmental and health challenges. She is also an active data science enthusiast on GitHub, reflecting a continuous commitment to learning and reproducible research.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Denis Diderot (Paris VII)
UACE Certificate, UACE Certificate at Gayaza High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Makerere University
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Lillian Muyama - Assistant Lecturer at Makerere University