Hao Du

Dr. Hao Du serves as a Research Fellow at the NUS Saw Swee Hock School of Public Health. His work bridges clinical validation and artificial intelligence, with a focus on applying deep learning to medical imaging and healthcare data. He also leads MedTech startups to translate AI models into clinical applications.

Education:

• Bachelor's Degree: Nanyang Technological University, Singapore
• PhD: National University of Singapore, Singapore

Research Interests: Dr. Du's research emphasizes model development for medical data analysis, clinical trial validation, and time-series analysis in healthcare. He explores how AI can enhance medical device efficacy and streamline clinical workflows. His work often involves multi-task learning frameworks and graph convolutional neural networks for medical imaging challenges.

Publications: His recent work focuses on AI-driven solutions for breast cancer screening, ICU mortality prediction, and big data-driven healthcare analytics. These studies highlight the synergy between clinical expertise and machine learning innovations.

Entrepreneurship: As a MedTech entrepreneur, he develops AI solutions for diagnostic tools and clinical decision support systems.