Immunology of Infectious Diseases

Understanding the link between EBV and Multiple Sclerosis

An opportunity exists for a PhD position in molecular immunology, where cutting-edge technologies will be applied to understand the molecular basis of the link between EBV and Multiple Sclerosis. Epstein-Barr virus (EBV) is the top identified causative agent of Multiple Sclerosis, but how this occurs is not known. This project aims to apply an innovative approach using proteome-wide screening of EBV to identify the subset of EBV proteins from the complete EBV proteome that triggers MS. It will compare responses in individuals with different stages of MS and apply sophisticated computational analytics to identify specific EBV proteins that predict MS disease. This EBV signature of MS could be translated into a clinic-friendly point-of-care test. If successful, this project could revolutionize the diagnosis and management of MS, providing patients with a quicker and more accurate diagnosis and enhanced quality of life.

Molecular Immunology of Malaria

An opportunity exists for a PhD position in the molecular immunology of malaria. The focus of this project will be to apply cutting-edge technologies to understand the molecular basis of protective immunity to malaria. It will take advantage of controlled human infection models and as well as animal models to explore the mechanisms underlying protective immunity to malaria and immune responsiveness. Using a range of interdisciplinary approaches, including immune profiling, transcriptomics, proteomics, and small molecule characterization, the project aims to define the critical cells and signalling pathways required for protective immunity against malaria. It is anticipated that this research will have broad application to a wide range of infectious and chronic diseases, with important implications for vaccination.

Vaccine Engineering

An opportunity exists for a PhD position in vaccine engineering. Vaccines are one of the most effective health care interventions but remain a challenge for many diseases, and in particular intracellular pathogens such as malaria where T cell responses are particularly desirable. We have been exploring novel approaches to rationally design an effective vaccine against challenging disease targets. By taking advantage of recent advances in genomic sequencing, proteomics, transcriptional profiling, and molecular immunology, we have discovered unique targets of T cell responses or antibody response. This project will test these antigens as vaccine candidates by assessing immunogenicity, protective capacity and biological function using different vaccine platforms. By designing an effective vaccine from genomic data, this project is expected to result in significance advances in vaccinology as well as immunology, with important public health outcomes.

Systems Immunology and Multi-Omics Approaches to Understand Protective Immunity to Human Malaria

This PhD project aims to develop and apply computational approaches that integrate systems biology and molecular immunology to understand host-pathogen immunity and predict immune control of malaria. The project will utilise systems-based immunology and multi-omics approaches to profile the host immune response in controlled infection models of malaria at molecular, cellular, transcriptome and proteome-wide scale.

The overall aim will be to develop and apply omics-based technologies and computational tools, including network theory and machine learning, to integrate multiple high-dimensional datasets and reveal novel insights into host-pathogen immunity and predict immune responsiveness and parasite control. Modelling of large-scale existing datasets, including those generated by single-cell RNA-sequencing technologies, may also be a feature of this project. The opportunity to identify new knowledge and integrate this with experimental data produced by our laboratory will be instrumental to extending the impact of these bioinformatics analyses. This project will provide an opportunity to be at the forefront in cutting-edge technologies and advances in computational analysis of integrated high-dimensional omic data.

Please view the full list of publications.