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Data-driven modelling of social systems

The tools of physics will be applied to social dynamics data, to develop a predictive model, and ultimately inform policy decisions in the chosen area. more...

Supervisor(s): Alexander , Tristram (Dr)

Machine learning in cell identity, fate decision, and lineage prediction

Multi-omics and single-cell omics approaches are transforming our understanding of stem cell-based regeneration of tissues and organs on the individual cell level. By generating and more...

Supervisor(s): Yang, Pengyi (Dr)

Computational approaches to elucidate Multiple Sclerosis and Contact Dermatitis pathogenesis, and its treatment through ultraviolet light exposure

Allergies and autoimmunity are complex immune system aberrations. Both involve multiple immune cell populations coordinating across several organs of the body. The growing prevalenc more...

Supervisor(s): Read, Mark (Dr)

Language dynamics on social media

Development of a language evolution model using social media data. more...

Supervisor(s): Alexander , Tristram (Dr), Altmann, Eduardo G (Associate Professor)

Forecasting soil conditions

Not knowing where and how soil responds to climate change and human intervention compromises food, water, climate and energy security. Currently there is a lack of soil process know more...

Supervisor(s): Minasny, Budiman (Professor), McBratney, Alex (Professor)

Fighting the spread of misinformation

The development of a quantitative measure of the spread of misinformation, for the purposes of developing a strategy to counter science denial. more...

Supervisor(s): Alexander , Tristram (Dr), Fulcher, Ben (Dr), Sharma, Manjula (Professor)

Integration of supply chain elements in an automobile company: Discrete Event Simulation Model and Analysis

In collaboration with a global car company, the project will provide professional analysis of the Supply Chain Management system and suggest the required dynamic model to support st more...

Supervisor(s): Jajo, Nethal (Dr)

Reconstruct trans-regulatory networks using multi-omics profiling and data integration

A major initiative in our group is to integrate trans-omics datasets generated by a state‐of‐the‐art mass spectrometer (MS) and next-generation sequencer (NGS) from various ce more...

Supervisor(s): Yang, Pengyi (Dr)

Understanding disease progression and comorbidities using multi-omics and clinical information

This research project aims at exploring clinical and multi-omics data to improve our present understanding of disease progression, transition and comorbidities. To achieve this aim, more...

Supervisor(s): Uddin, Shahadat (Dr)

Health burden of chronic diseases

This research project aims to model the health burden of chronic diseases and their comorbid conditions using Markov models, Bayesian statistics and Complex network. more...

Supervisor(s): Uddin, Shahadat (Dr)