Dr Ed Cohen
Reader in Statistics
Department of Mathematics, Imperial College London, SW7 2AZ Office: Huxley 536 Tel: +44 (0) 207 59 43986 email: e.cohen at imperial.ac.uk gitub: github.com/eakcohen twitter: @eakcohen Professional Website |
I am a Reader in Statistics in the Department of Mathematics. My 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. I also develop 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, my collaborators include the Ward-Ober lab at University of Southampton, the Experimental Biophysics & Nanotechnology group at University of Birmingham, the Quantitative and Nanobiophysics Lab at UCL, and the Institute of Immunity and Transplantation at UCL. Publication list I welcome e-mail enquiries from those interested in doing a Ph.D. in methodological advancements in the research interests outlined above or related fields. Grants: EPSRC Grant EP/P011535/1 Teaching: M345S8 - Time Series Analysis CV Education: PhD - Department of Mathematics Imperial College London. Supervisor: Prof Andrew Walden MPhys - Mathematics and Physics University of Warwick. Previous Employment: Teaching Fellow Sep 2012 - July 2013 Department of Mathematics Imperial College London Postdoctoral Research Scholar July 2011 - Sep 2012 Ward-Ober Lab University of Texas at Dallas, and University of Texas Southwestern Medical Center Signal Processing Research Scientist Aug 2005 - Sep 2007 Electronic Surveillance and Countermeasures Research Group Spectrum Solutions Division QinetiQ Memberships: Fellow of the Royal Statistical Society QBI Tutorial on Spatial Statistics |