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.

Areas of Expertise

  • Statistical Analysis
  • Advanced Statistical Methods (such as Generalised/Mixed effects models)
  • Randomisation, Resampling and Simulation
  • Statistical Software packages (including SPSS, R and Matlab)
  • Programming (including C/C++, Pascal, Python, R and Visual Basic)
  • Developing Parallel Code for High Performanc Clusters

Publications

  1. & Patient confidentiality and new technologies in burn care. Burns 41(3)
  2. & Are we seeing more cases of Infective Endocarditis after NICE CG64 recommended cessation of the use of antibiotic prophylaxis? The Welsh experience. Heart (British Cardiac Society) 101(4), A56-A57.
  3. & Epilepsy and deprivation: a data linkage study. Epilepsia 56
  4. & Local Modelling Techniques for Assessing Micro-Level Impacts of Risk Factors in Complex Data: Understanding Health and Socioeconomic Inequalities in Childhood Educational Attainments. PLoS ONE
  5. & Food supply depends on seagrass meadows in the Coral Triangle. Environmental Research Letters 9(9)

See more...

Teaching

  • PM-238 Biostatistics

    This module covers a number of principles of biological data analysis using statistical software.

  • PM-238C Ystadegau Biolegol

    Mae┬┐r modiwl hwn yn cwmpasu nifer o egwyddorion dadansoddi data biolegol drwy ddefnyddio meddalwedd ystadegol.

  • PM-304 Biomolecular Research Project

    *

  • PMRM02 Data Analysis for Health and Medical Sciences

    This module explores the concepts, principles and applications of various approaches to data analysis and interpretation for both qualitative (including thematic content analysis) and quantitative methods (including analysis of difference, variance and relationship).

  • PMRM08 Data Analysis for Health and Medical Sciences (PT Research Only)

    This module explores the concepts, principles and applications of various approaches to data analysis and interpretation for both qualitative (including thematic content analysis) and quantitative methods (including analysis of difference, variance and relationship).

  • PMZM10 Data Analysis for Health and Medical Sciences

    This module explores the concepts, principles and applications of various approaches to data analysis and interpretation for both qualitative (including thematic content analysis) and quantitative methods (including analysis of difference, variance and relationship).

Supervision

  • TBC (current)

    Student name:
    MRes
    Other supervisor: Prof Phil Newton
    Other supervisor: Dr Owen Bodger
  • Improving Denguie Prevention and Control in the Kingdom of Saudi Arabia (current)

    Student name:
    PhD
    Other supervisor: Prof Michael Gravenor
    Other supervisor: Dr Owen Bodger
    Other supervisor: Dr Alison Porter

Administrative Responsibilities

Research Groups

  • Education Research Working Group

    This new group aims to encourage new research on topic relating to education and assessment.