University of Manchester
I'm a Lecturer in Health Data Science in the Centre for Health Informatics at the University of Manchester. My main research interests focus on the field of prognostic modelling (risk prediction modelling). This is an exciting area of research that aims to use data to build mathematical models that take a set of relevant characteristics or features as inputs and output a risk or probability of some event happening in the future. For example, there are models to predict (or forecast) what the weather is likely to do tomorrow. Here, the models have been developed (or trained) based on current understandings of different meteorological phenomenon and using historical data.
Now, as a health data scientist, my research focusses on health contexts, but the same general idea applies: we can use historical health data to develop models that aim to make predictions about risk of likely outcomes in future patients based on a set of characteristics (e.g. their age and gender). Such risk models can be used to support clinical decision-making. Clearly, this means that any such risk models should be robustly developed and tested, which is where my research focus is centred: to improve the methodologies that are used to develop (and test) risk models.
This website contains a collection of my work, such as selected publications, a description of my main projects, and a collection of posts that aim to summarise my papers or discuss topics of interest to me (and hopefully you too). More details can be found at the following: