Khadija Athman is a Computer Engineer and AI researcher based in Uganda, currently pursuing a Master of Science in Computer Science at Makerere University. Her graduate research focuses on optimizing pneumonia detection from lung ultrasound imaging using synthetic data and AI, with an emphasis on building diagnostic tools that can work in resource-constrained healthcare settings.
She works with Python, TensorFlow, and PyTorch to design, train, and evaluate models, and has experience preparing research for publication in interdisciplinary teams. Notably, Khadija has received recognition for her innovative contributions to a medical consultation application, which underscores her capability in bridging technology and healthcare.
Khadija’s background is grounded in more than three years of industry experience across healthcare, transport, and business systems, including applied database and data-systems engineering. Looking ahead, she aspires to leverage her expertise to improve technologies that can transform service delivery across diverse sectors, ultimately aiming to contribute significantly to advancements in AI integration.