Mike Nsubuga is a PhD student funded by the Medical Research Council(MRC) under GW4 BioMed2 MRC DTP under the Population Health theme. His project under the supervision of Prof Kristen Reyher, Dr. Sion Bayliss, Prof Andrew Dowsey, and Dr. Lauren Cowley will center on collaborating with the UK Health Security Agency(UKHSA) and Centers for Disease Control and Prevention (CDC) to develop cutting-edge machine learning tools aimed at forecasting outbreaks of foodborne diseases, while identifying the genomic mechanisms of antimicrobial resistance (AMR). These tools will be used to support public health decision-making and facilitate rapid response to future outbreaks.

Mike 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).