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CURRENT RESEARCH PROJECTS
Project
Project name
Project
Project name
Project Outline
project outline
Project details
Research area
Potential new treatment
Laboratory
Systems Biology and Genomics Laboratory
Contact
Professor Alistair Forrest
CURRENT STUDENT PROJECTS
Student Project
Artificial Intelligence-based medical data mining
Student Project
Artificial Intelligence-based medical data mining
Project Outline
Objective: To utilise advanced AI agents for the extraction of validated ligand-receptor pairs from medical literature.
Chief supervisor
Professor Alistair Forrest
Project suitable for
PhD
Student Project
Identifying novel intercellular signalling pathways to enhance cancer immunotherapy efficacy
Student Project
Identifying novel intercellular signalling pathways to enhance cancer immunotherapy efficacy
Project Outline
Objective: To employ established bioinformatic pipelines in investigating altered pathways within the tumour microenvironment of patients exhibiting differential responses to immunotherapy.
Chief supervisor
Professor Alistair Forrest
Project suitable for
PhD
Student Project
Modelling combinatorial effects of experimental perturbations at single-cell resolution
Student Project
Modelling combinatorial effects of experimental perturbations at single-cell resolution
Project Outline
Objective: To develop novel algorithms for discerning the impact of perturbations on individual cells, while accounting for confounding factors.
Chief supervisor
Professor Alistair Forrest
Project suitable for
PhD
Student Project
Evaluating the collective probability of ligand-receptor interactions with distinct spatial distributions
Student Project
Evaluating the collective probability of ligand-receptor interactions with distinct spatial distributions
Project Outline
Objective: Benchmarking the efficacy of current methods in quantifying ligand-receptor interactions given spatial constraints.
Chief supervisor
Professor Alistair Forrest
Project suitable for
Honours, Masters, PhD
Essential qualifications
Computer science/information technology
Student Project
Long non-coding RNAs and novel transcripts expressed in single cell and spatial transcriptomic cancer datasets
Student Project
Long non-coding RNAs and novel transcripts expressed in single cell and spatial transcriptomic cancer datasets
Project Outline
Objective: Mine existing single cell and spatial cancer transcriptome datasets for transcription start sites associated with long non-coding RNAs and other novel transcripts.
Chief supervisor
Professor Alistair Forrest
Project suitable for
Honours, Masters, PhD
Essential qualifications
Computer science/information technology