Paul Expert is a postdoctoral researcher in the Global Digital Health Unit working with Dr Céire Costelloe. His current research is concerned with the development of network based methods to analyse patient movement pattern in hospitals.
Since September 2020, Paul Expert is also a visiting Associate Professor to World Research Hub Initiative in the Tokyo Institute of Technology.
He studied Physics and then Statistics at the University of Geneva and received his PhD in Physics from Imperial College London in the Complexity and Networks Group under the supervision of Prof. Kim Christensen. His thesis work made use of statistical mechanics and network theoretical approaches to study various systems from the human brain to human society. As a post doctoral researcher with Prof. Federico Turkheimer in the Center for Neuroimaging Sciences at King's College London, he continued to develop novel analysis methods using network and more generally topological approaches to characterize human brain function in health, disease and altered states. He then came back to Imperial to join the EPSRC Centre for Mathematics of Precision Healthcare (CMPH), to work with Prof. Mauricio Barahona to develop Laplacian based methods in graph signal processing, machine learning and persistent homology.
et al., 2019, Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin, Neuroimage, Vol:199, ISSN:1053-8119, Pages:127-142
et al., 2019, Plastic adaptation to pathology in psychiatry: are patients with psychiatric disorders pathological experts?, Neuroscientist, Vol:26, ISSN:1073-8584, Pages:208-223
et al., 2017, Graph spectral characterisation of the XY model on complex networks, Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, Vol:96, ISSN:1063-651X
et al., 2015, The brain's code and its canonical computational motifs. From sensory cortex to the default mode network: A multi-scale model of brain function in health and disease, Neuroscience and Biobehavioral Reviews, Vol:55, ISSN:0149-7634, Pages:211-222
et al., 2014, Homological scaffolds of brain functional networks, Journal of the Royal Society Interface, Vol:11, ISSN:1742-5689, Pages:901-901
et al., 2011, Characterization of the anterior cingulate's role in the at-risk mental state using graph theory, Neuroimage, Vol:56, ISSN:1053-8119, Pages:1531-1539
et al., 2011, Uncovering space-independent communities in spatial networks, Proceedings of the National Academy of Sciences of the United States of America, Vol:108, ISSN:0027-8424, Pages:7663-7668