Dr Ed Cohen

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