Ed Cohen is a Senior Lecturer in the Statistics Section of the Department of Mathematics. His research interests lie broadly in the areas of statistical signal and image processing. Particular areas of focus include: the development of wavelet and spectral methodology for the analysis of multivariate point processes, change point detection, adaptive estimation, and self-exciting processes - including issues of identifiability and estimation when event data is aggregated. He also develops methodology for the quantitative analysis of bioimaging data with interests including spatial statistics, clustering, molecular counting and metrology.