I'm currently a trainer on the Health Service Modelling Associates Programme.

I was previously a data analyst, and later data scientist, in a mental health trust in the NHS.

I completed my BA in Biological Sciences at the University of Oxford in 2011-14, and my MSc in Health Data Science at the University of Exeter in 2020-21, with a focus on web app development for healthcare service improvement.

I'm currently working on

• setting up a community-owned Atlas of useful tools, packages, projects, techniques and graphs for people working in healthcare services in the UK: atlas.hsma.co.uk

• animated outputs for discrete event simulation event logs

  • find my package vidigi on PyPi
  • view the documentation and source code
  

• making it easier to turn Streamlit apps into pyodide-based serverless apps - find my package stlitepack on PyPi

• open-source teaching materials on

  • python for beginners
    • book
  • discrete event simulation for healthcare pathway simulation
    • book
    • interactive playground
  • geographical visualisation, travel time lookups and service location optimisation
    • book
    • sessions
  • web app development with Streamlit
    • book
    • session 1 - introduction to Streamlit; displaying dataframes, charts and maps; getting user input; laying out apps with tabs, columns and expanders
    • session 2 - discrete event simulation apps, multipage apps, theming, run buttons, caching, partial reruns, session state, deployment
  • reproducible outputs with Quarto
  • and more...

My current favourite things to work with are

• Streamlit (particularly serverless deployment with the amazing stlite package)
• Quarto and the fantastic webexercises, quarto-pyodide and quarto-stlite extensions for adding interactivity to Quarto ebooks
  • I built the new HSMA website in Quarto! Check out the code here and the site at hsma.co.uk
  • All of our course books use Quarto!

I'd love to chat about

• how to use routinely collected data better to improve mental healthcare services
• how to make it easier for analysts and data scientists to securely deploy custom web apps in their organisations
• improving data literacy in the NHS and helping stakeholders understand the amazing potential of R, Python, advanced analytics, operational research and data science
• how to teach coding, data science and operational research effectively

Here are a couple of other things I've created!

This custom PowerBI visual takes a simple, routinely collected dataset of patient history and displays it in a clear format.

Long-term referrals as well as individual interactions with services can be shown, with customisable tooltips, allowing clinicians to get an overview of a patient's history in a quick glance and spot repeated patterns of service interaction. Designed initially for use in mental health services, where clients can have more than a decade of data, thousands of contacts, and systems which display these details as rows of text rather than in a way that allows easy interpretation.

A second visual is designed specifically for non-overlapping data, such as ward stays.

This custom PowerBI visual allows SPC charts to be created within PowerBI that automatically adhere to the making data count guidance.

Extensive customisation is available through built-in menus. Multiple output types are possible, including faceted graphs, metric cards, and several summary tables.