Collaborators

Joint work on explanation diversity, stakeholder alignment, and normative reasoning in large multimodal models.

• UNC-Chapel Hill Interpretability and explainable AI
• RMIT University Trustworthy and responsible AI
• The Australian National University AI governance and trustworthy AI
• Arizona State University Research collaboration and exchange

Interpretable and robust machine learning for materials prediction, scientific discovery, and inverse design.

• University College London Trustworthy AI for materials science
• City University of Hong Kong Interdisciplinary AI research
• Deakin University Materials engineering and scientific AI

Students contribute to question formation, implementation, evaluation, and scientific communication as research partners.

• The University of Sydney Supervision and student research
• City University of Macau Student research collaboration