Members of the Centre develop and apply mathematical and computational techniques to a diversity of biomedical and clinical challenges. We use networked dynamical systems, mechanistic modelling, as well as continuum modelling approaches to generate and test hypotheses about physio- pathological scenarios. We also implement machine learning techniques and statistical modelling to identify computational biomarkers of disease, parameter estimation and model calibration directly from biomedical and clinical data sets. We apply these methods to a wide variety of research challenges including brain health, hormone dynamics, clinical image analysis, diabetes, epilepsy, metabolism, ophthalmology, cancer, heart arrhythmias, and infertility (including male factors).
Theme Lead: Dr Eder Zavala
Members: Professor Michael Biehl, Dr Yingjing Feng, Dr Aravind Kumar Kamaraj, Dr Meurig Gallagher, Dr Daniel Galvis, Professor Viktor Jirsa, Dr Leandro Junges, Dr Isabella Marinelli, Sophie Mason, Professor Manfred Opper, Dr Paul Roberts, Dr Atif Shahzad, Professor John Terry, Dr Wessel Woldman, Dr Alexander Zhigalov, Gwen Harrington.