Professor Edmund Crampin

Research interests

  • Biomedical Engineering
  • Mathematical Biology
  • Systems Biology

Personal webpage

http://edmundcrampin.wordpress.com

Biography

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 multi-team collaborative group developing mathematical and computer modeling approaches to investigate regulatory processes and biophysical mechanisms underlying complex human diseases.

Current projects include modelling heart cells to understand the development of heart disease; modelling 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.

Biographical details:
Edmund graduated with a BSc (Hons) in Physics from Imperial College London, and 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 Biology.

Recent publications

  1. Cudmore P, Crampin E. Bondgraphtools: Modelling Network Bioenergetics. 63rd Annual Meeting of the Biophysical-Society. Biophysical Society. 2019, Vol. 116, Issue 3. DOI: 10.1016/j.bpj.2018.11.2262
  2. Johnston S, Crampin E. Corrected pair correlation functions for environments with obstacles. PHYSICAL REVIEW E. American Physical Society. 2019, Vol. 99, Issue 3. DOI: 10.1103/PhysRevE.99.032124
  3. Ladd D, Tilunaite A, Soeller C, Roderick L, Crampin E, Rajagopal V. Detecting RyR clusters with CaCLEAN: influence of spatial distribution and structural heterogeneity. . 2019. DOI: 10.1101/549683
  4. Gawthrop P, Crampin E. Energetic Modelling of Mitochondrial Redox Reactions. 63rd Annual Meeting of the Biophysical-Society. Biophysical Society. 2019, Vol. 116, Issue 3. DOI: 10.1016/j.bpj.2018.11.2256
  5. Faria M, Noi K, Johnston S, Ju Y, Bjornmalm M, Caruso F, Crampin E. Kinetic Modeling of Nanoparticle-Cell Association. 63rd Annual Meeting of the Biophysical-Society. Biophysical Society. 2019, Vol. 116, Issue 3. DOI: 10.1016/j.bpj.2018.11.2399
  6. Siekmann I, Bjelosevic S, Landman K, Monagle P, Ignjatovic V, Crampin E. Mathematical modelling indicates that lower activity of the haemostatic system in neonates is primarily due to lower prothrombin concentration. SCIENTIFIC REPORTS. Nature Publishing Group. 2019, Vol. 9, Issue 1. DOI: 10.1038/s41598-019-40435-7
  7. Johnston S, Faria M, Crampin E. Quantifying the Influence of Nanoparticle Polydispersity on Cellular Delivered Dose. 63rd Annual Meeting of the Biophysical-Society. Biophysical Society. 2019, Vol. 116, Issue 3. DOI: 10.1016/j.bpj.2018.11.221
  8. Pan M, Gawthrop P, Tran K, Cursons J, Crampin E. A thermodynamic framework for modelling membrane transporters.. J Theor Biol. Academic Press. 2018. DOI: 10.1016/j.jtbi.2018.09.034
  9. Johnston S, Faria M, Crampin E. An analytical approach for quantifying the influence of nanoparticle polydispersity on cellular delivered dose. JOURNAL OF THE ROYAL SOCIETY INTERFACE. The Royal Society Publishing. 2018, Vol. 15, Issue 144. DOI: 10.1098/rsif.2018.0364
  10. Gawthrop P, Crampin E. Biomolecular system energetics. Simulation Series. 2018, Vol. 50, Issue 12.
  11. Pan M, Gawthrop P, Tran K, Cursons J, Crampin E. Bond graph modelling of the cardiac action potential: implications for drift and non-unique steady states. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES. The Royal Society of London. 2018, Vol. 474, Issue 2214. DOI: 10.1098/rspa.2018.0106
  12. Gawthrop P, Crampin E. Bond Graph Representation of Chemical Reaction Networks. IEEE TRANSACTIONS ON NANOBIOSCIENCE. IEEE - Institute of Electrical and Electronic Engineers. 2018, Vol. 17, Issue 4. DOI: 10.1109/TNB.2018.2876391
  13. Cursons J, Pillman KA, Scheer KG, Gregory PA, Foroutan M, Hediyeh-Zadeh S, Toubia J, Crampin E, Goodall GJ, Bracken CP, Davis M. Combinatorial Targeting by MicroRNAs Co-ordinates Post-transcriptional Control of EMT. CELL SYSTEMS. Cell Press. 2018, Vol. 7, Issue 1. DOI: 10.1016/j.cels.2018.05.019
  14. Rajagopal V, Bass G, Ghosh S, Hunt H, Walkers C, Hanssen E, Crampin E, Soeller C. Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS. Journal of Visualized Experiments. 2018, Vol. 2018, Issue 134. DOI: 10.3791/56817
  15. Lin DS, Kan A, Gao J, Crampin E, Hodgkin P, Naik S. DiSNE Movie Visualization and Assessment of Clonal Kinetics Reveal Multiple Trajectories of Dendritic Cell Development. CELL REPORTS. Elsevier. 2018, Vol. 22, Issue 10. DOI: 10.1016/j.celrep.2018.02.046

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile