Dr Robyn Veal

Hughes Hall: Quondam fellow (2017 to present); Research fellow (2013-2016); Tutor (2013-2016); Asst tutor (2016-17)
McDonald Institute for Archaeological Research: Anniversary research fellow (2012-2016); Affiliate researcher (2016 to present)

Contact information

Hughes Hall
University of Cambridge
Wollaston Rd
United Kingdom


BSc (Syd), BA (Macq), BA hons (Syd), MBA (UTS), PhD (Syd), MA (Camb). I graduated in science, business and arts, before completing my doctorate in archaeology at the University of Sydney on the fuel economy of Pompeii. I held the Ralegh Radford Rome fellowship at the British School at Rome (Oct 2011-June 2012); and was a McDonald Institute for Archaeological Research Anniversary Fellow (Dec 2012- Feb 2016), at the University of Cambridge. I am currently a Quondam fellow at Hughes Hall, Cambridge, having previously held Research Fellow and Tutor posts. I was an honorary research affiliate at the Department of Archaeology, University of Sydney (2010-2018). I work with a number of international excavation teams, mostly in Italy (but also in SE Asia and the UK) as an environmental archaeologist and economic historian.  

Research interests

My current two areas of focus are conservation palaeo-ecology; and ancient climate. I work on modelling natural resources in the ancient world, working from the Bronze Age to the Modern era, and using this time range to examine how the past might inform the future. My specialization is forestry resources, but I work with any organic materials (food, fuel, textiles). I combine historical sources, with archaeological data, climate and environmental data (ancient and modern), and archaeological sciences.


See my academia.edu and researchgate sites for downloads

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Acts as a gateway for external organisations 

Join us.