Artificial intelligence is rapidly changing how research is done across the sciences. The Sustainability, AI and Life Sciences (SAILS) Network offers a platform for genuine multidisciplinary collaboration that harnesses AI breakthroughs to accelerate discovery in Sustainability and Life Sciences.
This project aims to create a paradigm shift in catalyst discovery by developing an AI-driven ‘catalyst evolution engine’ that learns from nature’s principles of chemical bond engineering. The primary objectives are to develop and validate a novel AI Framework, establish an autonomous, high-throughput workflow and deliver first-generation breakthrough catalysts.
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Our goal is to build Australia’s first AI-powered microfluidic system for lipid and protein nanocarriers, encapsulate RNA therapeutics with higher efficiency, lower cost, and greater reproducibility, validate the platform in both extracellular vesicle (EV)-hybrid systems and preclinical eye disease models, and promote cross-disciplinary collaboration between engineering, medicine, and computational sciences.
Investigators:
Modern biomedical research increasingly relies on advanced molecular imaging to understand cellular behaviour, yet current approaches cannot fully exploit the rich information contained within complex 4D datasets (time+space). This project aims to develop interpretable AI frameworks capable of learning quantitative molecular representations from genome imaging across scales. Our objective is to predict cell fate transitions under perturbation (differentiation, mutation or drug treatment), define genome architectural states associated with normal and pathological phenotypes, identify patient-specific cardiovascular disease signatures, and quantitatively assess genome-level responses to design drug discovery pipelines or repurpose drugs for rapid therapeutic intervention.
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