Department of Engineering Science


Edmund Crampin

crampin-edmund-02.jpg

Associate Professor, Associate Director (Postgraduate), Systems Biology Group Leader
BSc(Hons) Lond., DPhil Oxf.
(joint appointment with Department of Engineering Science)

Contact details
UniServices House, Room 637
70 Symonds Street
Auckland

Phone +64 9 3737599 ext 88168
Email: e.crampin@auckland.ac.nz

Profile

Edmund leads the Systems Biology and Cell Modelling Research Group at the Auckland Bioengineering Institute and is a Associate Professor in the Department of Engineering Science at The University of Auckland.

Edmund is a member of the editorial board of PLoS Computational Biology.

Edmund previously held the NZIMA research fellowship at the Auckland Bioengineering Institute and before coming to Auckland was a Junior Research Fellow at Brasenose College and a Wellcome Trust Research Fellow at the Oxford Cardiac Electrophysiology Group and the Centre for Mathematical Biology, at the University of Oxford.

Qualifications and academic record

Qualifications

  • 2000 DPhil (Mathematical Sciences), University of Oxford
    • Doctoral thesis: Reaction-Diffusion Patterns on Growing Domains
  • 1996 BSc Hons (Physics), Imperial College London

Academic Record

  • 2011- Associate Professor, Department of Engineering Science and Auckland Bioengineering Institute
  • 2006- Associate Investigator, Maurice Wilkins Centre for Molecular Biodiscovery
  • 2005-10 Lecturer / Senior Lecturer, Department of Engineering Science and Auckland Bioengineering Institute
  • 2004 NZIMA Research Fellow and Lecturer, Auckland Bioengineering Institute, University of Auckland
  • 2003 Visiting Research Fellow, Auckland Bioengineering Institute, University of Auckland
  • 2001-3 Wellcome Trust Research Fellow in Mathematical Biology, University of Oxford
  • 2000-2 Junior Research Fellow, Brasenose College, Oxford

 

Research interests
  • Cardiac metabolism and mitochondrial dysfunction in ischaemic heart disease
  • Signal transduction pathways in cardiac myocytes
  • Methodologies for deducing and analysing biochemical pathways and networks
  • Gene regulatory networks underlying breast and skin cancer
  • Computational tools and standards for integrative systems biology


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