Biography

PhD candidate at Monash University, working on medical AI and machine learning. His research focuses on test-time adaptation, domain generalization, and post-training alignment of large-scale vision, language, and multimodal models for robust real-world deployment. His work spans medical image segmentation, foundation model adaptation, and LLM post-training, with publications in venues including IEEE-TIP, IEEE-TMI, Medical Image Analysis, IEEE-JBHI, Neurocomputing, MICCAI, and IPMI. He also serves as a reviewer for leading journals and conferences, including IEEE-TPAMI, TMI, TIP and MICCAI.