Haohui Lu

Haohui Lu is a Research Fellow at the Molly Wardaguga Research Centre within the Faculty of Health. He is registered to supervise postgraduate research and holds a PhD from The University of Sydney, awarded in March 2024. His work bridges artificial intelligence and public health, with a focus on ethical and explainable AI systems.

Research Interests:

• Artificial Intelligence and Machine Learning
• Graph Machine Learning and Knowledge Graphs
• Health Informatics and Clinical Decision Support
• Bias Mitigation and Fairness in AI
• Large Language Models for Healthcare
• Statistical Modeling and Real-World Data Analysis

His recent publications demonstrate a strong trend in applying machine learning—particularly graph-based and language models—to public health challenges such as disease progression, policy analysis, and undernutrition. He frequently publishes in high-impact journals like PLoS One, Scientific Reports, and Neurocomputing, and presents at top venues such as EMNLP. His work emphasizes fairness, interpretability, and practical impact for policymakers and communities.

Scientific Contributions and Recognition:

Advising and Leadership:

Registered as a postgraduate research supervisor, indicating a role in mentoring future researchers. Provides technical leadership in AI tool development, research data platforms, and LLM applications, supporting multidisciplinary and international collaborations.

Laboratories and Teams:

Based at the Molly Wardaguga Research Centre, a hub for health research, where he contributes to projects integrating AI with real-world health data and policy.