Joseph Muganga is a health data science student at the University of Manchester, with an interest in applying data to improve health outcomes. He has experience working in research settings, supporting data management and data-driven decision making, particularly within public health and disease control. He is passionate about using data to bridge the gap between research and real world healthcare practice.

He is currently working on a project that evaluates the stability of SARS-CoV-2 variant classification using natural vectors, a genomic characterisation method, combined with supervised machine learning algorithms. His work also involves comparing different models to identify the most reliable and optimal approach.

Joseph is particularly interested in infectious disease modelling and open digital tools for health. His goal is to contribute to data driven solutions that improve healthcare decisions and patient outcomes.

Joseph is an intern with

Bupa