Haohui Lu has expertise in artificial intelligence, graph machine learning, and health informatics, with a strong foundation in machine learning, statistical modelling, and real-world data analysis. His research is published in top-tier international conferences and journals, with a focus on developing explainable, fair, and domain-specific AI systems to support healthcare decision-making.

Haohui’s work has contributed to better understanding of disease progression and comorbidities through the integration of electronic health records and biomedical knowledge graphs. His research on bias mitigation in large language models (LLMs) supports ethical AI use in domains. 

Haohui has conducted advanced statistical and machine learning analyses across various projects, including longitudinal modelling of child undernutrition and the development of predictive tools for adverse outcomes. His work supports multidisciplinary teams and international collaborations, producing accessible visualisations and reports that ensure data are meaningful to policymakers and communities. He also provides technical leadership in research data platforms, LLM applications, and generative AI tool development.