edits

Author: mikensubuga

_pages/about.md

@@ -24,7 +24,7 @@ Hi! I am a PhD student at the University of Bristol and a Research Fellow at the
 
 My research focuses on antimicrobial resistance (AMR), where I apply bioinformatics and machine learning to understand the genomic determinants of resistance, virulence, and pathogen evolution. I am particularly interested in developing tools that support real-world public health decision-making, especially in low- and middle-income countries (LMICs).
 
-My PhD, funded by the Medical Research Council (MRC) under the GW4 BioMed2 Doctoral Training Partnership (Population Health theme) and supervised by [Prof Kristen Reyher](https://research-information.bris.ac.uk/en/persons/kristen-k-reyher), [Dr. Sion Bayliss](https://research-information.bris.ac.uk/en/persons/sion-c-bayliss), [Prof Andrew Dowsey](https://research-information.bris.ac.uk/en/persons/andrew-dowsey), and [Dr. Lauren Cowley](https://researchportal.bath.ac.uk/en/persons/lauren-cowley), is conducted in collaboration with the UK Health Security Agency (UKHSA). I develop machine learning approaches to forecast foodborne disease outbreaks and identify genomic mechanisms of AMR, supporting timely and data-driven public health responses.
+My PhD, funded by the Medical Research Council (MRC) under the GW4 BioMed2 Doctoral Training Partnership (Population Health theme) and supervised by [Dr. Sion Bayliss](https://research-information.bris.ac.uk/en/persons/sion-c-bayliss), [Prof Kristen Reyher](https://research-information.bris.ac.uk/en/persons/kristen-k-reyher), [Prof Andrew Dowsey](https://research-information.bris.ac.uk/en/persons/andrew-dowsey), and [Dr. Lauren Cowley](https://researchportal.bath.ac.uk/en/persons/lauren-cowley), is conducted in collaboration with the UK Health Security Agency (UKHSA). I develop machine learning approaches to forecast foodborne disease outbreaks and identify genomic mechanisms of AMR, supporting timely and data-driven public health responses.
 
 I am currently a Visiting Researcher at Imperial College London through the GW4 MRC Broadening Horizons programme, working with [Professor Leonid Chindelevitch](https://www.imperial.ac.uk/people/l.chindelevitch) on benchmarking machine learning methods for AMR prediction using large-scale genotype–phenotype datasets.