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Joel is a Data Developer in the Innovation Mapping Team, which researches international innovation systems by drawing together new data sources, data science methods and state-of-the-art data visualisation. Joel is developing a robust and secure data collection system for mapping innovation activities in the EU, the UK and the health innovation system in the USA. He is also leading the team’s effort to develop a robust production pipeline for data collection, analysis and visualisation. This is already being to be applied to new projects such as the H2020 EURITO project to map innovation in Europe.

Joel holds a PhD in Particle Physics at the University of Manchester and CERN, Switzerland, and he undertook two postdoctoral research positions in Sheffield and Padova, Italy. More recently, he worked as a Data Scientist for the Department for Communities and Local Government, where he researched areas such as the economic impacts of funding cuts to local government and the efficacy of the troubled families program. The common thread between his work has been using computational methods to get the most of out of data for the benefit of society.

In his spare time, Joel enjoys rock-climbing, language learning, and running. He hit the peak of his running career a few years ago, by completing a 100 km run from Manchester to Sheffield, although nowadays he says that he'll settle for a run around the block!