My published and submitted academic publications, and links to further blog posts.

My research includes applications of statistics and machine learning to healthcare data.

Within statistics education research and practice, I am particularly interested in the areas of R pedagogy, teaching in applied contexts, and good practices for data science.

Development of methods for detecting outliers in time series data, for transport networks.

Let’s say you need to understand how your data changes within a day, and between different days. Functional analysis is one approach of doing just that so here’s how I applied functional analysis to some air pollution data using R!

Last year I was a finalist in the 2021 Statistical Excellence Award for Early-Career Writing. This blog post introduces my article published in Significance and gives some tips for statistical writing.

An overview of my PhD thesis entitled “Detecting demand outliers in transport systems”.