Prof. Hao Chen is Assistant Professor, Department of Computer Science and Engineering, Department of Chemical and Biological Engineering, and Department of Life Science, Hong Kong University of Science and Technology, Director of the Medical Engineering Interdisciplinary Joint Innovation Center. He leads SmartX Lab, which focuses on developing trustworthy AI for healthcare. He received the Ph.D. degree from The Chinese University of Hong Kong (CUHK) in 2017. He was a postdoctoral research fellow in CUHK previously. His research interests include medical large models, computational pathology, multimodal fusion, medical image analysis, computer-aided minimally invasive diagnosis and treatment, etc. He has published more than 100 papers (Google Scholar citations more than 35,000 times, h-index 79) in top journals and conferences such as Nature Biomedical Engineering, Nature Communications, Lancet Digital Health, Nature Machine Intelligence, Jama, MICCAI, IEEE-TMI, MIA, CVPR, ICCV, etc. He has been continuously selected as a Stanford University global top 2% scientist and a Clarivate Analytics global highly cited scientist. He has won the 2023 Asian Young Scientist Award, the second prize of the National Ministry of Education Excellent Achievement Award, the first prize of the Beijing Science and Technology Progress Award, and the 2019 MICCAI Young Scientist Impact Award, a top conference in artificial intelligence medical imaging. He serves as an editor of journals including IEEE TMI, TNNLS, J-BHI, and CMIG, and serves as an area chair and program committee member of multiple international conferences such as ICLR, CVPR, ACM MM, and MICCAI. He has led the team to win 15 international medical image analysis challenge championships.