Mike Nsubuga

Mike Nsubuga is a Biomedical Data Scientist at the Infectious Diseases Institute, Makerere University, Uganda. His work involves leveraging data science and bioinformatics to understand antimicrobial resistance (AMR), focusing on the genomic determinants of resistance, virulence, and underlying mechanisms. He is also an MRC-funded PhD fellow at the University of Bristol, collaborating with the UK Health Security Agency to develop advanced machine learning tools for forecasting foodborne disease outbreaks and identifying genomic mechanisms of AMR. Additionally, Mike serves as a Research Data Scientist at the Jean Golding Institute, the University of Bristol’s central data science hub, where he supports researchers with their data science needs.

He previously did an MSc in Bioinformatics supported by the Fogarty International Center(FIC) of the National Institutes of Health(NIH) under the EANBIT project at Makerere University where his research focussed on evaluating the practicality and broader adaptability of machine learning models, particularly in the realm of identifying antimicrobial resistance within low-middle-income countries(LMICs).

He enjoys contributing to innovations in global health and education. My work spans AMR, genomics, infectious diseases, and education initiatives, with a particular focus on LMICs