The Cell Structure and Mechanobiology Group is where biology, physics and computing collide in a quest to derive mathematical principles that explain functional changes in cell dynamics and architecture in both healthy and disease states.
Biology has provided an enormous body of descriptive data in its bid to understand the organism by first taking it apart, starting with anatomical descriptions and progressing through to organs, cells and molecules. These descriptions, however, do not necessarily explain the dynamic organisational capacity of cell-based life. At Melbourne School of Engineering, the Cell Structure and Mechanobiology Group is working to create new ways to integrate and analyse biological data. Their goal is to define dynamic principles that drive function-altering changes in cell and tissue architecture, including during disease progression. This ambitious initiative brings physics, advanced imaging technology, biochemistry, electrophysiology, mathematical modelling and machine learning together within a vibrant, intellectually stimulating, multi-disciplinary team. The goal is the development of dynamic simulations that explain changes to cellular systems, with models providing a new platform to test and develop new disease interventions.
Imaging cellular biology
Imaging is central to the group’s quest to develop predictive models of dynamic cellular processes.
Modelling cellular dynamics
Expertise in physics and mathematics is being applied to biological systems to transform descriptive data and derive explanatory principles.
A better understanding of cellular dynamics stands to impact on medical research.
Biophysics and new technology platforms
Learning to define the dynamic processes that underlie cellular biology presents new avenues for technology development.
- Maciej Kubicki, PostDoc: Breast density and breast cancer risk
- David Ladd, PostDoc: Modelling cellular dynamics
- Agne Tilunaite, PostDoc: Cell Signalling
- Jared Collette, PhD student: Cancer cell motility and mechanobiology
- Hilary Hunt, PhD student: Cell signalling
- Nathan Isles, PhD student: Cardiac cell mechanobiology
- Afshin Khadangi, PhD student: Machine learning
- Arman Namvar, PhD student: Red blood cell mechanics and malaria
- Qilin Yu, PhD student: Cancer cell motility and mechanobiology
- Shouryadipta Ghosh, PhD: Diabetic cardiomyopathy
- Jan Jarosz, Diabetic cardiomyopathy