My primary research interest is developing mathematical methods for the tractable representation of complex data systems. In particular, I am interested in directed networks, network inference, dynamics on/of networks, temporal networks, and going from meta-data to full-data descriptions. I also work on constructing mathematical models of biological systems, parameter inference and optimisation algorithms.
I develop techniques for analysing data and models using dynamical systems, matrix analysis, probability, topological data analysis, numerical analysis, statistics, and information retrieval to work on problems from biology, social science, economics, and engineering.
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Integrating sentiment and social structure to determine preference alignments: the Irish Marriage Referendum.
Royal Society open science issue 7 volume 4 page 170154- (12 July 2017)
The 'who' and 'what' of #diabetes on Twitter.
Digital health volume 3 page 2055207616688841- (January 2017)
Understanding human behavior in urban spaces using social network data: A mobility graph approach
International Journal of Web Services Research issue 4 volume 13 page 54-66 (1 October 2016)
Linear models of activation cascades: analytical solutions and coarse-graining of delayed signal transduction.
Journal of the Royal Society, Interface issue 121 volume 13 (31 August 2016)
Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
PLoS computational biology issue 8 volume 12 page e1005055-e1005055 (5 August 2016)