This talk will showcase some of the research we’re currently doing within Lancaster Medical School to make better use of data and technology within medicine.

In this talk, I’ll describe ways that teaching materials can be adjusted and made more engaging with live coding examples. It will include a demonstration of using webR to teach a simple statistical concept showing its potential to revolutionise the way we teach data science.

In this workshop, we’ll discuss new best practice guidance for data visualisation for RSS publications.

I’ll be talking about how sharing code on social media led to finding a community of people and new opportunities, and I’ll discuss one of my recent projects to develop data visualisation guidelines in R and Python.

Phonocardiographs are used to capture high resolution recordings of heart sounds. This lightning talk will discuss how we can use time series analysis can uncover hidden structures in the recordings, and use this information to detect and classify heart murmurs.

This talk will give a brief overview of the {tidymodels} framework for machine learning, discuss the extraction of time series features, demonstrate the process of fitting machine learning models in R to heart sound recordings, and consider different approaches to model evaluation.