TransReg: Cross-transformer as the Auto-registration Module for Multi-view Mammogram Mass Detection

Hi! I’m Chi, and I am interested in developing multimodal AI systems that can meaningfully improve medical understanding and support clinical decision-making.

My research lies at the intersection of machine learning and medical imaging, with a particular focus on multimodal foundation models, medical reasoning, and trustworthy AI for healthcare. I am especially interested in building clinically grounded and reliable models that can learn from complex medical data while remaining interpretable and useful in real-world settings.

During my research journey, I have been fortunate to work under the guidance of Prof. Yueming Jin at the National University of Singapore, Prof. Lee Hwee Kuan at the Bioinformatics Institute (A*STAR), Prof. Hieu Pham at VinUniversity, and Prof. Ravishankar K. Iyer at the University of Illinois Urbana–Champaign. Feel free to reach out if you would like to chat about medical AI, multimodal learning, or research in general!