My ORCID identifier is http://orcid.org/0000-0002-2986-2494
I am a PhD student in the Centre for Complexity Science under the supervision of Professor Kim Christensen. I am interested in theoretical and numerical aspects of complex systems with a core focus on computational modelling. I like to describe my work as physics and maths techniques applied to any research problem outside of the traditional topics in physics and maths.
I am currently involved in a number of different collaborations across a wide range of topics.
I am a member of the ElectroCardioMaths group at Imperial led by Professor Nicholas Peters, where I work on modelling the emergence of cardiac arrhythmias, trying to bring clinical relevance to the physics techniques used to study these diseases, and to develop potentially new treatment methods. Alongside Professor Nigel Franks and Dr Ana Sendova-Franks from the University of Bristol AntLab, I have been working on modelling the construction of Antlion traps to better understand how these remarkable insects exploit the properties of granular media to optimise pitfall construction. Working with the Miyake laboratory at the Tokyo Institute of Technology, I am investigating how temporal correlations can effect the evolution of growing complex networks.
Our recent work on antlions was featured in the press including in the Daily Mail, Daily Mirror, Phys.org, Discover magazine, and others. The work has even inspired the writing of poetry by Sam Illingworth.
I currently supervise several MSci students investigating models of cardiac fibrillation. I am also involved in the teaching and marking of 1st Year Lab, 1st Year Computing and the 3rd year course Complexity & Networks, all of which are part of the physics undergraduate course at Imperial.
I am always looking for new collaborations and would love to hear from you if you are interested, or if you have any other comments, questions, or just want to chat.
et al., 2019, Unified mechanism of local drivers in a percolation model of atrial fibrillation, Physical Review E, Vol:100, ISSN:2470-0045
et al., 2019, Digging the optimum pit: antlions, spirals and spontaneous stratification, Proceedings of the Royal Society B: Biological Sciences, Vol:286, ISSN:1471-2954
et al., 2018, Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation, Royal Society Open Science, Vol:5, ISSN:2054-5703