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
- animated outputs for discrete event simulation event logs
- find my package vidigi on PyPi
- view the documentation and source code
- user-friendly visualisation of large graph networks in Streamlit (including adding extra features to the excellent st-cytoscape extension)
- open-source teaching materials on
- python for beginners
- discrete event simulation for healthcare pathway simulation
- geographical visualisation, travel time lookups and service location optimisation
- machine learning, including
- web app development with Streamlit
- 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!
- Godot
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 the things I've created!
This video intermittently fails to load - try refreshing the page if it's showing an error!
2023-11-23.10-14-16.mp4
Play around with a live demo of this here - note that it won't load in Firefox!
This work has been released as the vidigi package to allow people to visualise their own systems.
Further example visualisations can be found in this web app, with the code available in this repository.
Co-authored with Dr Daniel Chalk (modifying and building on materials from the HSMA programme), this ebook takes users from being complete beginners in discrete event simulation through to being able to create complex simulation models with the simpy package.
You can read the ebook here.
Co-authored with Dr Daniel Chalk (modifying and building on materials from the HSMA programme), this ebook takes users from being complete beginners in Python through to being able to use many of the key features of the language.
You can read the ebook here.
This HSMA book complements the geographic module on the programme, covering visualisation of geographic data in QGIS (with thanks to Dr Kerry Pearn) and Python. In Python, we look at both static and interactive maps. The book then goes on to retrieving travel times from APIs and calculating the optimal position of sites based on demand or population figures.
In future, the book will be expanded to cover additional topics including multiobjective optimization and geospatial statistics (hotspots, coldspots, spatial outliers).
You can read the ebook here.
This HSMA book helps with turning your code into an interactive tool, with a special focus on building front ends for discrete event simulation (DES) models.
You can read the ebook here.
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.