Areas of Expertise

  • GIS
  • Spatial Analysis
  • Computing
  • Spatial Databases
  • OpenSource Software

Publications

  1. & How much space do drivers provide when passing cyclists? Understanding the impact of motor vehicle and infrastructure characteristics on passing distance. Accident Analysis & Prevention
  2. & Using Geographic Information Systems to investigate variations in accessibility to ‘extended hours’ primary healthcare provision. Health & Social Care in the Community
  3. & Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data. International Journal of Population Data Science 3(4)
  4. & Daily exposure to the retail food environment and the association with child BMI. International Journal of Population Data Science 3(2)
  5. & Detecting Care Homes: Using Residential Anonymous Linking Fields to Identify Care Homes in Administrative Data. International Journal of Population Data Science 3(2)

See more...

Teaching

  • GEGM22 Geographical Information Systems

    This module will provide students from a range of disciplines including Geography, Epidemiology and Bioscience, with a comprehensive understanding of Geographic Information Systems, and key practical skills in the market-leading GIS software tool, ESRI ArcGIS. At the end of the module students will know how and where to acquire geospatial data, how to combine and analyse these data for specific objectives, and how to visualise primary and derived data in the form of maps.

  • PMIM102 Scientific Computing and Health Care

    The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dan Thayer

  • PMIM502 Health Data Visualisation

    Health data scientists often have to present their findings to a non-academic/expert audience. The objective of this module is to enable students to choose and produce appropriate visualisations of health related data using a range of media. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dr Richard Fry.

Supervision

  • Active Children Through Individual Vouchers – Evaluation (ACTIVE): a mixed method randomised control trial to improve the health and socialisation of teenagers. (current)

    Student name:
    PhD
    Other supervisor: Prof Damon Berridge
    Other supervisor: Dr Richard Fry
    Other supervisor: Prof Sinead Brophy
  • 'Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data' (awarded 2018)

    Student name:
    PhD
    Other supervisor: Prof Ronan Lyons
    Other supervisor: Dr Richard Fry
    Other supervisor: Prof Sarah Rodgers