My research focuses on project management, asset/infrastructure management assurance, construction management, public transport, and railway safety. I specialise in applying Artificial Intelligence (AI), Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to support better decision-making in complex project environments.

My work centres on transforming unstructured data into actionable insights with evidence-based analytics and improving how organisations manage risk, performance, and governance across project portfolios. I am particularly interested in enabling effective expert-AI collaboration to ensure AI solutions are practical, transparent, and aligned with real-world operational needs.

A key project I developed is an NLP-driven framework for infrastructure policymaking, which demonstrates how AI can systematically analyse large-scale policy documents to identify evolving priorities over time and generate strategic insights for decision-makers. The framework introduces a scalable approach to classify, track, and prioritise infrastructure policies, supporting more evidence-based and adaptive policymaking in complex environments.

I completed his PhD at the Institute of Transport and Logistics Studies (ITLS) at the University of Sydney. I was a Postdoctoral Research Associate at the John Grill Institute for Project Leadership (JGIPL) at the University of Sydney until 2025. I am passionate about bridging research and practice, and have collaborated on several projects with industry partners and government agencies.

I aim to bridge research and practice by delivering AI-driven solutions that are directly applicable to industry challenges in infrastructure and transport systems.