About Me

I am a Lecturer in Computer Science at the University of Sydney. My research develops trustworthy and explainable AI methods for scientific discovery, large language models, and education. I am particularly interested in explanation disagreement, Rashomon sets, stakeholder-centred interpretability, concept-based LLM monitoring, and responsible AI systems that support human decision-making in scientific and educational contexts.

Before joining the University of Sydney, I was an Assistant Professor at the City University of Macau and a Jubilee Joint Associate/Postdoctoral Fellow at the Australian National University. I received my PhD in Computational Science from ANU, where my thesis focused on design-driven materials intelligence and explainable machine learning for scientific discovery.

My current research spans four connected directions:

• Stakeholder-centred Explainable AI: Rashomon sets, explanation disagreement, explanation uncertainty, and stakeholder-aligned model selection.
• Trustworthy and Explainable LLMs: concept-based monitoring, reasoning faithfulness, LLM understanding, and agent safety.
• AI for Scientific Discovery: interpretable machine learning for materials science, chemistry, battery compounds, and neuroscience.
• AI in Education: learner-state-aware AI tutoring, LLM-assisted teaching, and responsible use of AI in higher education.

I am open to collaboration with researchers and students interested in explainable AI, trustworthy LLMs, AI for science, and AI-supported education.

Selected News

• 2026.03 — Joined the University of Sydney as Lecturer in Computer Science.
• 2026 — Google Cloud Research Credits awarded.
• 2026 — Practical Attribution Guidance for Rashomon Sets accepted at AISTATS.
• 2026 — FaithAct accepted at ACL.
• 2025 — Selected as Future Impact Group Fellow with Prof. Seth Lazar.
• 2025 — PhD conferred by the Australian National University.
• 2025 — TALO Innovator Grant awarded.
• 2024 — Exploring the Cloud of Feature Interaction Scores in a Rashomon Set accepted at ICLR.
• 2024 — Awarded Fellowship of the Higher Education Academy.