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Ed Cohen is an Associate Professor in the Department of Mathematics at Imperial College London, with research interests broadly focused on statistical methodology for analyzing signals and images. His work encompasses temporal, spatial, and spatio-temporal point processes across complex domains, including networks and manifolds. He specializes in time series analysis, change-point detection, and online estimation, applying these techniques to a diverse array of applications, especially in biological imaging. Ed serves as an investigator and project lead for the EPSRC Network on Stochastic Processes and Time Series (NeST) Programme, and he is the Joint Director of the EPSRC Centre for Doctoral Training in Statistics and Machine Learning (StatML) in collaboration with Oxford University. Furthermore, he is an Associate Editor for Statistics and Computing and holds the position of Vice-Chair for the Emerging Applications Section of the Royal Statistical Society.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.