Luba Pascoe is an assistant lecturer, researcher, and software engineer with a strong interdisciplinary background in computer science, information systems engineering, and data-driven health innovation. She holds a Bachelor of Science in Computer Science and a Master of Science in Information and Communication Science and Engineering, with a focus on Information Technology Systems Development and Management.

My research focuses on infectious disease surveillance, with particular emphasis on dengue. The research applies agent-based modeling (ABM), machine learning, and data mining techniques to understand and predict disease transmission dynamics. 

I have experience working with health data and developing mobile and data-driven systems for disease reporting and surveillance, particularly in resource-constrained settings. My work aims to bridge simulation, analytics, and real-world applications by translating research outputs into deployable tools that support public health decision-making.

My broader interests include digital health systems, epidemiological modeling, climate-sensitive diseases, and the application of artificial intelligence to public health challenges in low- and middle-income contexts.