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个人简介
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.
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.
研究兴趣
论文共 57 篇作者统计合作学者相似作者
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Giuseppe de Alteriis,Eilidh MacNicol,Fran Hancock, Alessandro Ciaramella,Diana Cash,Paul Expert,Federico E. Turkheimer
Imaging Neuroscience (2024)
Chaos (Woodbury, N.Y.)no. 5 (2024)
Estera Mendelsohn,Kate Honeyford, Andy Brittin, Luca Mercuri,Robert Edward Klaber,Paul Expert,Céire Costelloe
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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MATHEMATICSno. 5 (2023): 1252-1252
FRONTIERS IN NETWORK PHYSIOLOGY (2023)
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSno. 4 (2022): 1663-1672
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