About

Research Interests

My research interests examine European Iron Age and Roman Archaeology through the lens of spatial analysis, social theory, and digital methods. I use geospatial statistics and databases to explore archaeological data and visualise theoretical perspectives in meaningful ways, with particular focus on:

  • Landscape transformation and settlement patterns
  • Territorial Oppida in Britain
  • Linear earthwork systems
  • Spatial analysis and GIS applications in archaeology
  • Digital heritage and research data management

I am committed to sustainable, reproducible research practices and the application of Open Research principles to archaeological scholarship.

Technical Expertise

My technical expertise spans research data management, digital research infrastructure, and computational analysis across the heritage and archaeology sectors. I have hands-on experience with:

Programming & Data Analysis

  • R: Statistical analysis, data visualization, automation, spatial analysis
  • SQL: PostgreSQL database design and population, PostGIS for spatial databases
  • QGIS & ArcGIS: Spatial analysis, cartography, landscape modeling
  • Least Cost Path Analysis: Mobility and accessibility studies

Research Infrastructure

  • Version Control: Git, GitHub for collaborative research
  • Documentation: Jupyter Notebooks, MkDocs, Quarto
  • Data Management: FAIR data principles, metadata standards
  • Web Development: Creating training portals and knowledge-sharing platforms

Education

PhD in Archaeology (Part-time)
University College London, 2009-2017
Thesis: Territorial Oppida and the transformation of landscape and society in south-eastern Britain from BC 300 to 100 AD
Supervisors: Prof Sue Hamilton, Prof Andrew Gardner

MA (Merit) in Practical Archaeology
University of Birmingham, 2004-2005

BA (Honours) in History and Archaeological Studies
University of Kent, 2001-2004

Professional Development

  • Certified Carpentries Instructor: Teaching foundational coding and data science skills
  • Research Data Management: Extensive training in FAIR principles and Open Science
  • Leadership: Line management and team development experience
  • EU Projects: Active participation in international research consortia