Imperial Global Singapore has secured two landmark research grants totaling nearly S$20 million under Singapore’s AI4Science initiative. These awards position the hub at the forefront of artificial intelligence applications in chemistry and computing, fostering deep collaborations with leading local institutions.

Background on Imperial Global Singapore and AI4Science Initiative

Imperial Global Singapore serves as Imperial College London’s dedicated research and innovation hub in the city-state, located at the National Research Foundation’s Campus for Research Excellence and Technological Enterprise (CREATE). Launched in 2024, the centre builds on longstanding UK-Singapore ties to address global challenges through joint scientific efforts. Singapore’s National Research Foundation (NRF) drives the AI4Science programme as part of the broader National AI Strategy, aiming to integrate advanced AI methods into core scientific domains to boost discovery speed and impact.

Grant Overview: Two S$10 Million Programmes

The newly awarded grants each carry approximately S$10 million in funding. One focuses on accelerating catalyst discovery for sustainable chemistry, while the other targets enhanced software reliability and verification in an era of AI-generated code. Both programmes run for four to five years and will expand research capacity at the Singapore hub, including additional staff and infrastructure.

AI-Driven Catalyst Discovery in Chemistry

The chemistry-focused programme, titled Overcoming the Terascale Design Challenge, partners Imperial with the Agency for Science, Technology and Research (A*STAR). Co-led by Imperial professors Aron Walsh and Mimi Hii alongside A*STAR’s Professor Yew-Soon Ong, the initiative develops a cloud-based AI platform and Surface Science Foundation Model. Traditional catalyst discovery often spans decades of trial-and-error; the new approach promises up to 500-fold acceleration in computational screening for materials suited to clean fuels, CO₂ utilisation, and bio-based chemicals.

Researchers will combine high-throughput screening, automated experimentation, and closed-loop AI systems that learn from simulations and lab results. Expected outputs include open-source tools accessible globally, alongside training programmes for the next generation of digital chemists.

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Advancing Software Reliability Through AI in Computing

The computing programme, AI for Program Reasoning, collaborates with the National University of Singapore (NUS) and additional partners including Singapore Management University, MIT, and ETH Zurich. Led by Imperial’s Professor Cristian Cadar and NUS Professor Abhik Roychoudhury, it addresses the growing challenge of verifying correctness and security in software, particularly code produced by large language models.

Key pillars include democratising formal reasoning tools across languages, advancing code-focused AI models beyond generation toward verifiable reasoning, and automating specification inference for large systems such as the Linux kernel. Demonstrators will feature custom reasoning engines and AI agents capable of repairing both code and proofs, supporting Singapore’s digital economy ambitions.

Local Partners and Collaborative Framework

Strong local engagement defines both awards. A*STAR brings deep expertise in materials and AI, while NUS contributes world-class computing strengths. The programmes align with CREATE’s interdisciplinary model, enabling seamless researcher exchanges between London and Singapore. Additional ties to institutions such as NTU Singapore through prior Imperial Global Singapore initiatives further enrich the ecosystem.

Implications for Singapore’s Higher Education and Research Landscape

These grants underscore Singapore’s strategic push to lead in AI-augmented science. Universities and research institutes gain access to cutting-edge projects that attract international talent and funding. Early-career researchers benefit from cross-border training, while industry partners in clean energy, pharmaceuticals, and software security stand to translate findings rapidly into applications. The initiatives also reinforce Singapore’s position as a global hub for trustworthy AI development.

Expert Perspectives and Expected Outcomes

Academic Director Professor Azra Ghani highlighted how the awards exemplify AI’s transformative potential across domains. NRF representatives emphasised the global relevance of solutions emerging from Singapore labs. Project leads stressed open science principles, with platforms and benchmarks designed for widespread adoption. Over the funding periods, deliverables range from foundation models and verification tools to peer-reviewed publications and demonstrator systems.

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Future Outlook and Broader Impact

Building on earlier Imperial Global Singapore programmes such as IN-CYPHER in health cybersecurity, these AI4Science awards signal sustained growth. They contribute to national goals around research commercialisation, talent development, and sustainable innovation. As AI capabilities evolve, the frameworks established here could serve as templates for similar international collaborations worldwide, accelerating scientific progress while upholding rigorous standards of reliability and safety.

Stakeholders across academia, government, and industry are encouraged to monitor progress through Imperial Global Singapore updates and NRF channels for emerging opportunities in joint research or talent pipelines.