Hamza worked on understanding pattern formation on the surface of growing elastic materials. He is now a Research Scientist at Deep Render.
Joins our work to model the progression of brain diseases such as Alzheimer’s and Parkinson’s.
Georgias research is advancing the understanding of the clearance of toxic proteins in Alzheimer’s disease by developing, and analysing, the first mathematical network models that include specific modes of clearance.
David is studying bifurcations in the underlying topology induced by dynamic networks. Co-supervised with Professor Heather Harrington.
Pavan is a neuroscientist working on data analysis and modelling of brain atrophy in dementia.
Matthew studies how biological membranes form complex shapes, for example via proteins that curve the membrane or consume energy to generate forces. Co-supervised with Professor Ramin Golestanian.
Christian studies the geometry associated with deforming solids. He now works at the Willerson Center for Cardiovascular Modeling and Simulation (WCCMS), U of Texas at Austin.
Andrew is working on mathematical models of neurodegeneration that account for pathological features of the brain’s microcirculation
Prama is using his expertise in the mathematical modelling of epidemiological problems to explore the graph-based evolution of toxic protein propagation in the brain.
Hadrien has broad interests in applied mathematics and mathematical biology. In particular, he is interested in using mathematical, physical and computational modelling to decipher the mechanisms that govern morphogenesis, the process by which livings organisms grow and acquire their shape.
Travis is researching network-based models reducing the continuum and protein kinetics of disease propagation in the brain to a coupled high-dimensional system of nonlinear ordinary differential equations.
Zach is using viscoelastic and stochastic modelling methods to study various aspects of the centriole division process.
Thomas is now working at Ecole Polytechnique, Université Libre de Bruxelles
Students