Open reproducible
health data analysis
Experienced in developing and maintaining reproducible analytical workflows in Python and R, with a strong emphasis on transparency, adherence to best practices, and automation. Use tools such as Quarto and Streamlit to create accessible, well-documented outputs. Use packaging, continuous integration and deployment, and testing to ensure robust, reliable, and shareable research code.
Selected Projects
Recent publications
Other links
ORCID Dimensions Scopus Exeter staff profile Open Science Framework (OSF) ResearchGate Web of Science