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Catalyst Fund
- Catalyst Fund Investment Plan 2024-2028
- New Zealand – China Strategic Research Alliance 2025 Call for Proposals
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Funded projects
- Catalyst: Strategic – New Zealand–United States Biotech Digital Twin Research Programme
- Catalyst: Strategic – New Zealand–United States Joint Antarctic Research Programme
- Catalyst: Strategic – New Zealand – Korea 2025 Joint Research Partnerships Programme
- Catalyst: Strategic – New Zealand-China joint research partnerships 2024
- Catalyst: Strategic – New Zealand-Singapore Leveraging AI for Healthy Ageing 2025
- Catalyst: Strategic – New Zealand – Singapore Biotech In Future Foods Research Programme 2025
- Catalyst: Strategic - Supporting HALO-South: New Zealand-German Climate Science Collaboration
- Catalyst: Strategic – New Zealand-Japan Joint Research Programme 2024
- e-ASIA Joint Research Programme 2024
- Catalyst: Strategic – New Zealand-China joint research partnerships 2023
- Catalyst: Strategic – Australia New Zealand Collaborative Space Programme
- Catalyst: Strategic – a quantum technologies research platform
- Catalyst: Strategic – New Zealand-China joint research partnerships 2022
- Catalyst: Strategic New Zealand–German Aerospace Centre Joint Research Programme
- Catalyst: Strategic – New Zealand-DLR Joint Research Programme December 2020
- Catalyst: Strategic – New Zealand-China joint research partnerships 2020/2021
- Catalyst: Strategic – New Zealand-Singapore Data Science Research Programme
- Catalyst: Strategic – New Zealand-Singapore Future Foods Research Programme
- Catalyst: Strategic – New Zealand-China joint research partnerships 2019/2020
- Catalyst: Strategic – The Cyber Security Research Programme
- Catalyst: Strategic – Space 2019
- Catalyst: Strategic – a collaborative biomedical science research programme with China
- Catalyst: Strategic – the New Zealand-China Research Collaboration Centres
- Catalyst: Strategic – Auckland Bioengineering Institute 12 Labours project
- Catalyst: Strategic – New Zealand-Germany Green Hydrogen Research Programme
- Catalyst: Strategic – Investment in health-related A.I. research in partnership with Soul Machines
- Catalyst: Strategic – New Zealand – NASA Research Partnerships 2023
- Catalyst: Strategic – New Zealand – NASA Joint Research Programme in Earth Observation
- Catalyst Strategic performance areas and sample key performance indicators
Catalyst: Strategic – New Zealand–United States Biotech Digital Twin Research Programme
MBIE is investing up to $4.5 million over four years to establish a joint biotech research programme with US partners.
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About this programme
The negotiated investment, led by the Auckland Bioengineering Institute (ABI), will develop a novel physics-informed AI platform by integrating artificial intelligence with biophysical modelling. In collaboration with the Oden Institute at the University of Texas, a world leader in AI and computational science, it will create ‘digital human’ models that, when continually updated with sensor or clinical data, become ‘digital twins’. Additionally, ABI will work with the Bioeconomy Science Institute to apply these methods and tools to non-human digital twins.
Funded projects
Auckland Bioengineering Institute
Contract duration: 1 August 2025 to 31 July 2029
Public statement
The Auckland Bioengineering Institute (ABI) has developed computational models of human organs and systems. These models extract clinically relevant insights from imaging and physiological data, supporting diagnosis and guiding therapeutic interventions. The ABI has recently extended this modelling framework to span multiple biological scales, from proteins to whole-body systems, enabling applications across both human health and the broader bioeconomy.
This Catalyst project will develop a novel physics-informed AI platform by integrating artificial intelligence with biophysical modelling. In collaboration with the Oden Institute at the University of Texas, a world leader in AI and computational science, it will create ‘digital human’ models that, when continually updated with sensor or clinical data, become ‘digital twins’. These tools will enable the interpretation of complex, multiscale datasets at the population level.
This international partnership brings complementary expertise, data, and infrastructure, significantly enhancing New Zealand’s capability in AI-driven science. The resulting platform will support innovation in precision health, agricultural biotechnology, and population health, where understanding complex biological systems is critical. It will work with our partners at the the Bioeconomy Science Institute to apply these methods and tools to non-human digital twins. Additionally, it will expand our human multiscale models beyond an individual by integrating with ALMA, the Public Health & Forensic Science’s digital twin and synthetic population modelling (with IDI data).
By combining AI’s pattern recognition with the mechanistic rigour of physics-based models, this initiative will unlock new knowledge from high-dimensional molecular and phenotypic data. It positions New Zealand at the forefront of next-generation modelling technologies, delivering long-term impact across both the health sector and the bioeconomy.
Contact:
Distinguished Professor Peter Hunter, Auckland Bioengineering Institute (p.hunter@auckland.ac.nz)