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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