Professor Edmund Crampin is Rowden White Chair of Systems Biology at the University of Melbourne. Edmund directs the Systems Biology Lab at the School of Mathematics and Statistics and the Department of Biomedical Engineering at 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 highly collaborative group developing mathematical and computer modeling approaches to investigate cellular regulatory processes and biophysical mechanisms underlying complex human diseases and major challenges in biotechnology, including synthetic biology. Current projects include modelling heart cells to understand the development of heart disease; computational modelling of interactions between cells and nanoparticles; and computational approaches to study the network of genetic interactions underlying breast and skin cancer. The group also develops computational tools and standards for integrative systems biology. Edmund graduated with a BSc (Hons) in Physics from Imperial College London, and a DPhil in Applied Mathematics at the University of Oxford where his thesis topic was on biological pattern formation, advised by Professor Philip Maini FRS. Edmund was elected to a Junior Research Fellowship at Brasenose College Oxford and awarded a Wellcome Trust Research Fellowship to study mathematical models of heart disease, with Professor Denis Noble FRS. In 2003 Edmund moved from Oxford to New Zealand to establish 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 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) Fellowship,
Junior Research Fellowship, Brasenose College, Oxford,
British Association Exhibition Scholarship, Imperial College,
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,
Imperial College Scholarship, Imperial College,
Available for supervision
I am director of the Systems Biology Lab. My research interests are in systems and synthetic biology. In our research group we develop mathematical and computer models and perform computational analyses to understand cellular processes, with applications in human health and biotechnology. We work closely with biologists, biotechnologist and biomedical researchers to generate and analyse data including imaging, cell signalling, gene expression, biomechanical 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 and synthetic biology. I encourage you to get in touch to explore possibilities for joining the Systems Biology Lab.