• BSc Mathematics at the University of St Andrews
• Mostly applied maths, with final year project on Subsonic and Supersonic Flow Through Pitot Tubes
• More statistics modules in final year

• MRes then PhD at STOR-i (STatistics and Operational Research with Industry) CDT
• Industry-partnered PhD with Deutsche Bahn
• PhD supervised by Catherine Cleophas, Florian Dost, and Adam Sykulksi
  • Thesis: Detecting demand outliers in transport systems
  • Chapter on Analysing and visualising bike sharing demand with outliers

• I needed a COVID lockdown project…
• I started doing TidyTuesday: weekly social data project where people are encouraged to make charts and share their code
• Started making and posting data visualisation on social media; writing blog posts; delivering more talks
• Build a portfolio of stuff I enjoy doing

I still do TidyTuesday most weeks!

• Developing and running training courses in R, statistics, and data visualisation.
• Building R packages and dashboards.
• Statistical consultancy.

• Received funding from the Royal Statistical Society (RSS) to develop some data visualisation guidance, alongside Andreas Krause with support from Brian Tarran at the RSS.
• The Best Practices for Data Visualisation guidance was first published in 2024, with guidance, examples, and associated R and Python packages.

• Lecturer in Health Data Science at Lancaster University (Centre for Health Informatics, Computing, and Statistics)
• Teaching-focused, mainly working on MSc Health Data Science
• Projects with the NHS, supervising MSc and PhD students
• Secured a book contract to write about data visualisation

• Support statisticians and/or domain experts at the Office for National Statistics, in the data visualisation team
• Making charts, dashboards, and interactive explorers
• Writing visualisation guidance, researching best practices, and developing chart templates
• Work in digital publishing team alongside content designers, user researchers, and journalists.