Liyue Shen is a final-year Ph.D. candidate in Electrical Engineering at Stanford University, co-advised by John Pauly and Lei Xing. Her research focuses on the interdisciplinary field of Medical AI to develop efficient AI/ML-driven computational algorithms and techniques for biomedical imaging and processing to address real-world biomedical and healthcare problems. Her works have been published in both ML/CV conferences (ICLR, ICCV, CVPR) and medical journals (Nature BME, IEEE TMI, MedIa, Scientific Reports). She was the recipient of the Stanford Bio-X Bowes Graduate Student Fellowship, and was selected as Rising Star in EECS by MIT and Rising Star in Data Science by University of Chicago. She co-organized the Women in Machine Learning (WiML) Workshop at ICML 2021 and the Machine Learning for Healthcare (ML4H) Workshop at NeurIPS 2021. She received an M.Sc. from Stanford University. Before that, she conferred her bachelor’s degree in Electronic Engineering from Tsinghua University.