Ed Cohen is a Reader in Statistics in the Department of Mathematics. His research interests lie broadly in statistical signal and image processing. Particular areas of focus include: the analysis of multivariate event and count processes, network processes, adaptive estimation and change point detection. He also develops methodology for the quantitative analysis of bioimaging data with interests including spatial statistics, clustering, molecular counting and metrology.
Motivated by applications in engineering and the natural sciences, his collaborators include a diverse set of academic and industry collaborators, from the life sciences to cyber security.
Ed is an investigator and a project lead on the EPSRC Network Stochastic Processes and Time Series (NeST) Programme.