David leads the Data Visualisation group at Imperial's Data Science Institute. This team which designed, constructed and runs the KPMG Data Observatory. This facility provides unique capacity to visualise data in an immersive circular visualisation studio. Our goal is to help researchers and industry to make sense from their data.
Please do get in touch to discuss:
- How visualisation and the Data Observatory can help your research
- Industry collaboration around data analysis and visualisation
- Dept Computing Student Projects
- Internships in our group
David Birch successfully defended his PhD thesis on "Computationally Unifying Urban Masterplanning" whilst working with the Software Performance Optimisation Group at Imperial College London. This work was sponsored by the EPSRC and engineering consultancy Arup and involved developing a computational platform for automated analysis of architectural designs using industry software. The platform enabled substantial improvement in the design process on a live project and enabled rapid design space exploration.
In February 2013 David joined the Digital City Exchange project to explore the relationship between sensor data, urban design and analysis models within the urban environment with a view to creating novel insight and business models. He created the Concinnity platform for integrating complex analysis models with smart city data.
David has an MSci degree in Joint Mathematics and Computing from Imperial College London.
et al., 2014, Concinnity: A Generic Platform for Big Sensor Data Applications, Ieee Cloud Computing, Vol:1, Pages:42-50
Wall MB, Birch D, Yong MY, 2016, Opportunities and considerations for visualising neuroimaging data on very large displays., F1000res, Vol:5, ISSN:2046-1402
et al., 2016, Visualizing Dynamic Bitcoin Transaction Patterns, Big Data, Vol:4, ISSN:2167-6461, Pages:109-119
et al., 2013, Computationally unifying urban masterplanning, Proceedings of the Acm International Conference on Computing Frontiers, Cf 2013
et al., 2013, Multidisciplinary Engineering Models: Methodology and Case Study in Spreadsheet Analytics, European Spreadsheet Risks Interest Group 14th Annual Conference (EuSpRIG 2013), EuSpRIG, Pages:1-12