Mike Nsubuga
Research Scientist, University of Bristol, UK
BS8 1UH
United Kingdom
Hi! I am a PhD student at the University of Bristol and a part-time Data Scientist at both the Jean Golding Institute, UK and Infectious Diseases Institute’s ACE, Uganda. My PhD is funded by the Medical Research Council(MRC) under GW4 BioMed2 MRC DTP under the Population Health theme. My project under the supervision of Prof Kristen Reyher, Dr. Sion Bayliss, Prof Andrew Dowsey, and Dr. Lauren Cowley centers 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. These tools are used to support public health decision-making and facilitate rapid response to future outbreaks.
I 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 my research focussed on evaluating the practicality and broader adaptability of Machine Learning models, particularly in the realm of predicting antimicrobial resistance within low-middle-income countries(LMICs).
I am passionate about the field of innovations in global health and I have worked on a variety of projects spanning different domains, including virtual reality technology in medical education and the utilization of large language models for pandemic preparedness in LMICs.
selected publications
- BMCGeneralizability of machine learning in predicting antimicrobial resistance in E. coli: a multi-country case study in AfricaBMC Genomics, Mar 2024
- BMJVirtual reality technology for surgical learning: qualitative outcomes of the first virtual reality training course for emergency and essential surgery delivered by a UK–Uganda partnershipBMJ Open Quality, Jan 2024
- BMCFeasibility of virtual reality based training for optimising COVID-19 case handling in UgandaBMC Medical Education, Apr 2022