Systems biology

This program builds and analyses mathematical models of biological processes, pathways and networks, and the cellular geometries within which these processes take place. These models can be applied to problems in human health, including cancer and heart disease, and nanomedicine.


  • Integrative computational modelling of cellular signalling, metabolism, electrophysiology, mechanics
  • Network analysis of transcriptomic, proteomic and metabolomic data; and data-driven regulatory network inference
  • Energy-based modelling
  • Integration of imaging and microscopy structural data with functional data
  • Multi-cellular and tissue simulation
  • Computational modelling and simulation for synthetic biology
  • Modelling of interactions between nanoscale materials and cells


  • Internationally recognised work developing integrative computational models of heart cells in health and disease
  • Highly cited development of computational modelling approaches with significant impact in systems biology
  • Systems biology offers powerful new approaches to better identify relevant drug target and assess possible side effects before clinical trials

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Program leader

Professor Edmund Crampin