Research Areas

We develop stochastic, deterministic time- and space-resolved models to gain insight into what drives ageing.  

Current projects focus on somatic mutation, inflammation and omics-driven models in ageing.

Associated group members: Blaine, Giovanni

We develop mathematical tools to study how single cells and groups of cells manage to move in 2D and 3D environments. 

Associated group members: Kiran, Margherita, Pradeep, Sebastian, Yin Hoon

We develop models to understand building energy utilisation towards technologies for smart buildings and digital twins. Optimisation algorithms, Markov chains and probability mass functions are all utilised for modelling occupancy solutions. 

Current projects also consider the multi-objective optimisation of occupancy and space utilisation, and the optimal design and control of heating and sensor systems.

Associated group members: Daniel, Huanbo, Lingfeng

We have developed a host of image processing and image analysis techniques to extract key parameters to inform our mathematical models. This then can inform further experiments and hypothesis-generation.

Associated group members: Kiran, Sebastian, Yin Hoon

When ‘normal’ immunological responses fail we observe the detrimental results of tumours as cancer. We characterise the tumour immune microenvironment using the topological perspective to measure across multiple scales in a complex system of cells.

Associated group members: Blaine, Sebastian

We actively work on characterising tissue-specific cellular metabolism by merging the power of dynamical models, network analysis, and in-house techniques to understand potential rewiring within the metabolic network. 

Current projects use constraint-based, dynamical models merged with statistical analysis to characterise manually- and algorithmically-reconstructed metabolic pathways. 

Associated group members: Elías, Giovanni, Roba

We are highly specialised in statistical and systems biology analysis. We have successfully assisted international collaborators in experimental design, sample size calculations and ad-hoc mathematical/statistical analyses for omics experiments.

Associated group members: Elías, Giovanni

We characterise the tumour microenvironment, from mechanistic modelling all the way to the topological perspective, to measure across multiple scales in this complex system of cells.

Associated group members: Kiran, Margherita, Sebastian, Yin Hoon

Topological Data Analysis identifies properties in data that remain invariant under continuous deformation. These properties include openness, nearness, connectedness, and continuity. With this at our disposal, we can identify unknown structures to be discovered in large, high-dimensional and noisy data sets.

Associated group members: Sebastian

We have characterised many properties relating to blood flow and oxygen transport, using techniques ranging from complex networks to computational solid and fluid dynamics.

Associated group members: Giovanni, Pradeep, Sebastian