“Cell Motility in Dynamic Environments” is the first of two MATRIX Research Programs, with the second being “Mathematics of Tissue Dynamics”. This research program will specifically examine the intricate coupling between fluid mechanics, cell motility and active navigation, ubiquitous features of the microbial world. The participants will present novel mathematical and experimental approaches for […]
“Mathematics of Tissue Dynamics” is the second of two MATRIX Research Programs, with the first being “Cell Motility in Dynamic Environments”. This program will see graduate students and world-leading mathematical modellers come together to collaborate in a week-long research intensive program, in the area of tissue dynamics. We will focus on multiple scales, incorporating […]
Jointly organised by groups at the University of New South Wales and the University of Melbourne, the Theory of Living Systems is a webcast seminar series based out of Australia and New Zealand. The aim is to promote cutting edge research at the interface of theory, computation and life science. For more information, please see Theory […]
This seminar series is organised by the Melbourne Mathematical Biology group, and is supported by the Computational Biology Research Initiative. Featuring renowned speakers, the series covers applications of mathematics and computing to understand biological systems. To subscribe and receive email notifications about upcoming seminars, please see The School of Mathematics and Statistics Events page. Seminar […]
Explains the mechanisms of fluid flow in biological systems and their interrelationship with physiological processes.
Informing policy and practice through the mathematical modelling of infectious diseases, with a focus on emerging and neglected tropical diseases, through the lenses of biosecurity and on health.
Mathematical modelling of problems at the intersection of ecology and evolution, to understand adaption and render hypotheses in this field more open to falsification.
The use of numerical methods to understand the behaviour of multicellular systems, through computer aided simulation.
Mathematical modelling to understand how the components of a biological system interact to generate the properties and physiological behaviour of that system.
A mechanistic description to understand tissue scale phenomena.