Scholar
Haohui Lu
Google Scholar ID: T0UW1swAAAAJ
Charles Darwin University
Citations & Impact
Citations
1,482
H-index
15
i10-index
18
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Feedback for Teaching Student Survey Award 2024 - The University of Sydney; Paulette Isabel Jones Career Award 2023 - The University of Sydney; Postgraduate Research Support Scheme 2022 - The University of Sydney.
Research Experience
- Research Fellow, Charles Darwin University, 03.2025 - Present: Conducting AI, machine learning, and data science research in public health, contributing to publications, grant writing, and project reports; Leading data collection, management, and analysis while collaborating with interdisciplinary teams and mentoring research students; Supporting Indigenous Data Sovereignty initiatives and working within a culturally safe research framework with First Nations communities. Research Assistant, The University of Sydney, 07.2024 - 03.2025: Managed end-to-end development and training of AI models, driving operational efficiency and quality through comprehensive analysis of project data and business scenarios; Led a faculty-funded project on child undernutrition, optimizing processes and enhancing collaboration with cross-functional international teams, including policymakers in Indonesia; Integrated Large Language Models (LLMs) into web-based GUIs, improving data interaction and visualization. Research Assistant, The University of Sydney, 10.2022 - 07.2024: Supported multidisciplinary experts in National Health and Medical Research Council (NHMRC) Ideas Grant project; Spearheaded data preprocessing and analysis for Bilateral Investment Treaties (BITs) using Natural Language Processing (NLP), enhancing treaty analysis with a custom-built LLM featuring interactive querying capabilities; Developed and maintained dashboards, utilizing advanced data visualization tools to ensure clear communication of complex data insights. Doctoral Researcher, The University of Sydney, 07.2020 - 12.2023: Conducted research on chronic disease prediction using graph machine learning, achieving improved accuracy in identifying high-risk patients; Managed large datasets using SQL and Python, employing machine learning techniques to derive actionable insights; Created interactive dashboards with Tableau.
Education
- PhD, The University of Sydney, 07.2020 - 12.2023, Conferral date: 18 March 2024, Thesis title: Chronic Disease Prediction using Graph Machine Learning; Graduate Certificate in Data Science, The University of Sydney, 11.2019; Master of Project Management, The University of Sydney, 11.2012; Bachelor of Commerce, The University of Sydney, 11.2011.
Background
- Research Interests: Development and application of artificial intelligence methods, particularly graph machine learning and large language models, to improve health systems and outcomes. Professional Background: Data Science, Project Management, and Commerce. Bio: Haohui Lu is a Research Fellow at the Molly Wardaguga Institute, Charles Darwin University, dedicated to advancing equitable, data-driven approaches in public health and supporting Indigenous data sovereignty through applied machine learning research.
Miscellany
- Currently recruiting PhD candidates in AI for Health, please send your CV and transcript to my email.
Co-authors