Professor Edmund Crampin is Rowden White Chair of Systems and Computational Biology at the University of Melbourne.
Edmund directs the Systems Biology Lab at the School of Mathematics and Statistics and the Melbourne School of Engineering, and is Adjunct Professor in the Faculty of Medicine, Dentistry and Health Sciences (School of Medicine). The Systems Biology Lab is a multi-team collaborative group developing mathematical and computer modeling approaches to investigate regulatory processes and pathways underlying complex human diseases.
Recent projects include modelling heart cells to understand the development of heart disease; computational approaches to study the network of genetic interactions underlying breast and skin cancer; and modelling the regulation of transepithelial fluid secretion in the salivary glands and lung tissues. The group also contributes to projects in nano medicine and drug delivery, biosensor design, biomarker identification, and development of computational tools and standards for integrative systems biology.
After graduating with a BSc (Hons) in Physics from Imperial College London, Edmund completed a DPhil in Applied Mathematics at the University of Oxford. Edmund’s thesis topic was on biological pattern formation, and his thesis advisor was Professor Philip Maini FRS. Edmund was subsequently elected to a Junior Research Fellowship at Brasenose College Oxford and in 2001 he was awarded a Research Fellowship from the Wellcome Trust to study mathematical models of heart disease, under the guidance of Professor Denis Noble FRS. In 2003 Edmund established the Systems Biology group at the Auckland Bioengineering Institute, in collaboration with institute director Professor Peter Hunter FRS. Edmund moved to the University of Melbourne in 2013 to take up the Chair of Systems and Computational Biology.
Oxygen Group of 10 New Science Leaders, NZ Ministry of Research Science and Technology,
Visiting Fellowship, Isaac Newton Institute for Mathematical Sciences, University of Cambridge,
Visiting Fellowship, Oxford Centre for Collaborative Applied Mathematics, University of Oxford,
Early Career Research Excellence Award, University of Auckland,
Faculty Teaching Award, Faculty of Engineering, University of Auckland,
Research Fellowship, Wellcome Trust (London),
Junior Research Fellowship, Brasenose College, Oxford,
Logica Prize in Computational Physics, Imperial College,
Granville Prize for Physics (top physics degree in the University of London), University of London,
Governors' Prize in Physics (top physics degree at Imperial College), Imperial College,
British Association Exhibition, Imperial College,
Imperial College Scholarship, Imperial College,
Available for supervision
I am director of the Systems Biology Lab. My research interests are in systems and computational biology. In our research group we develop mathematical and computer models and perform computational analyses to investigate cellular processes underlying human diseases. We work closely with biologists, physiologists and clinicians to generate and analyse data including imaging, cell signalling, gene expression, mechanical and metabolic data sets. Current research projects include the 'heart cell physiome': an integrative computational model of a heart cell in health and disease; development of an energy-based modelling approach to study the biochemical networks and biophysical processes taking place in cells; and computational approaches to better understand and predict interactions between nanoscale materials and cells. Members of the group have trained in a wide variety of disciplines including mathematics, physics, engineering, computer science, biology and biochemistry. Many projects involve experimental work as well as computational modelling. New projects come up all the time, and we are always on the look out for potential students and postdoctoral researchers interested in bringing their training and knowledge to address challenging questions in systems biology. I encourage you to get in touch to explore possibilities for joining the Systems Biology Lab.