About Me
I am a PhD candidate at the University of Glasgow working at the intersection of infectious disease modelling, data science, and policy translation. My doctoral research focuses on predicting the health and economic impacts of rabies interventions using quantitative decision-analytic models, and on developing data-driven tools to support evidence-based policymaking. My work has contributed to national and international policy discussions on disease control strategies.
My expertise spans epidemiological and health-economic modelling, genomic data analysis, and reproducible software development, with strong proficiency in R, R Shiny, Python, and Linux-based workflows. I work with diverse data sources such as household surveys, health facility records, and pathogen genomic data to address complex global health challenges across low- and middle-income settings.
I have contributed to the design and optimisation of bioinformatics pipelines for viral genomics, investigated transmission dynamics using phylogenetic and statistical approaches, and developed open-source tools, including Bioconductor packages, to enable scalable and reproducible analysis. Beyond research, I am passionate about capacity building, regularly delivering training in infectious disease modelling, genomics, and data analysis.