Digital Biology

Digital biology stands at the frontier of modern biology, merging the world of bits and bytes with the biological realm to transform our understanding of life, disease, and health.

Research focus

This program sits at the confluence of biology, computational science, and artificial intelligence (AI). It will apply advanced machine learning techniques and data analysis tools to biological data to enable a deeper understanding of complex biological systems and enhance disease prediction and prevention.

Through this program, we aim to translate the vast and growing biological data pool into actionable knowledge, a process that will be accelerated through the integration of AI and digital biology.

The digital biology program will be developed in close collaboration with the School of Computing, Engineering and Mathematical Sciences (SCEMS) at La Trobe University and Industry partners, to maximise the applications of artificial intelligence, machine learning and mathematical modelling to biomedical research.

Members

Program leads

Nilimini Wickramasinghe

OPTUS Chair - Digital Health

Zhen He group

AI for Digital Biology and Public Health

Program members

Begoña Heras group

Begoña Heras group

Structural Biology and Bacterial Pathogenesis

Brian Abbey group

Brooke Huuskes group

Cardiorenal Disease

David Winkler group

Molecular AI and machine learning

David Hoxley group

Biosensing applications of wide bandgap semiconductors

Doug Fairlie group

Doug Fairlie group

Cell Death and Survival

Emma Grant group

Emma Grant group

Immune responses against pathogens

Grant Drummond group

Helen Irving group

Helen Irving group

Inflammation

Ibrahim Javed group

Ing Kong group

Karla Helbig group

Antiviral Innate Immunity

Marcel Jackson group

Narelle Brack group

Surface modification and characterisation of advanced materials

Paul Pigram group

Seb Dworkin group

Developmental Genetics

Simon Egerton group

Stephanie Gras group

Viral and structural immunology

Travis Beddoe group

Agriculture Bio-Solutions

Wei Xiang group