I am a researcher at the School of Medicine in Swansea University with a background in Mathematical Statistics. My role comprises original research across a range of fields, teaching quantitative skills, developing custom software and assisting colleagues and other researchers in analysing the results of their work.
After completing a PhD in Mathematical Statistics I moved into the School of Medicine to assist with the development of large scale network models for the spread of disease, using custom written parallel code on high performance clusters. My expertise has also allowed me to provide statistical support to fellow researchers across a wide range of subject areas. In particular I find myself called upon to construct solutions where data constraints mean that standard methods are unable to generate robust solutions and this work frequently requires me to develop innovative custom solutions.
As a consequence of my role I have been involved in publishing research across a wide range of subject areas. My personal research focusses on the use of numerical methods like simulation in areas such as epidemiology and the optimisation of service delivery. My experience in working with a range of different programming languages affords me a great deal of flexibility in choosing appropriate tools.
I am engaged with teaching at a variety of levels, providing support to elements of the Graduate Entry Medicine course and assisting in delivering Statistics modules to undergraduates. I am particularly keen to assist in the development of new approaches in the teaching of Statistics, a subject of growing importance yet still commonly seen as inaccessible.
In addition to my primary roles I provide support to the department through my work as a core member of the Web-Team and my participation in the Athena Swan Self-Assessment Team, the Communications Group and the Education Research working group.