معرفی
Zhen Yu is a Research Fellow in the Department of Data Science & AI at Monash University, actively contributing to cutting-edge research at the intersection of artificial intelligence and digital medicine. Their work focuses on developing AI models for medical image analysis, survival prediction, and disease screening, particularly in dermatology and ophthalmology.
Their research interests span Artificial Intelligence, Medical Image Analysis, Digital Medicine, and Survival Analysis. They apply advanced machine learning techniques—including transformers and hierarchical models—to solve complex healthcare problems such as melanoma detection, retinal aging biomarker identification, and infectious disease differentiation.
Recent publications demonstrate a strong trend toward explainable and clinically applicable AI systems, particularly in skin lesion classification and nonparametric survival modeling. Their work frequently appears in high-impact journals like npj Digital Medicine and Machine Learning, reflecting both technical rigor and clinical relevance.
Zhen Yu is actively involved in significant research projects, including:
- Melanoma Research Victoria (MRV) Collaboration (2024–2029), where they serve as Chief Investigator
- AUTOMATE ME: Automated risk assessment and screening for melanoma and skin cancer (2026–2030), where they are an Associate Investigator
Their collaborative network includes leading clinicians and data scientists across Australia, focusing on translating AI innovations into real-world healthcare solutions.
