Dr. Yuyao Zhang is currently serving as an Assistant Professor at the School of Information Science and Technology (SIST) at ShanghaiTech University. Her research interests primarily lie in the field of medical image processing and analysis. She is dedicated to incorporating advanced machine learning techniques into various neuroimaging methods and data analysis tasks to enhance their applicability in healthcare and well-being. Dr. Zhang’s recent work has revolved around the development of efficient unsupervised deep learning-based methods for CT and MRI imaging, including denoising, super-resolution, and image reconstruction. These cutting-edge algorithms have been applied to fetal brain MRI 3D reconstruction and developmental analysis, the construction of multi-modality 3D/4D brain atlases for both infants and adults, analysis of neurodegenerative brain diseases, and parametric modeling of the human body and tissues in 3D. Through collaborations with research institutes and hospitals, Dr. Zhang’s lab has actively participated in various research and clinical projects. These include observing and interpreting brain development and aging processes, analyzing the course of diseases such as Covid-19 pneumonia, Parkinson’s disease, fetal ventriculomegaly, and developmental delay. Dr. Zhang’s research aims to contribute to the advancement of medical imaging techniques and their practical applications in understanding human health and improving patient care. Her work not only has the potential to benefit clinical practices but also holds promise for advancing knowledge of complex medical conditions.