Liyue Shen is an assistant professor in the ECE Division of the Electrical Engineering and Computer Science Department of the College of Engineering, University of Michigan – Ann Arbor. She is also affiliated with Michigan Institute for Data Science (MIDAS), Michigan Institute for Computational Discovery and Engineering (MICDE) and Michigan Materials Research Institute (MMRI).

She received her B.E. degree in Electronic Engineering from Tsinghua University in 2016, and obtained her Ph.D. degree from the Department of Electrical Engineering, Stanford University in 2022, co-advised by Prof. John Pauly and Prof. Lei Xing. She was a postdoctoral research fellow at the Department of Biomedical Informatics, Harvard Medical School from 2022 to 2023. She is the recipient of Stanford Bio-X Bowes Graduate Student Fellowship (2019-2022), and was selected as the Rising Star in EECS by MIT and the Rising Star in Data Science by The University of Chicago in 2021.

Her research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. She is particularly interested in developing efficient and reliable AI/ML-driven computational methods for biomedical imaging and informatics to tackle real-world biomedicine and healthcare problems, including but not limited to, personalized cancer treatment, and precision medicine. She recently focuses on the generative diffusion models, implicit neural representation learning and multimodal foundation models.

She co-organized the Woman in Machine Learning (WiML) workshop at ICML’ 21, and the Machine Learning for Healthcare (ML4H) workshop at NeurIPS’ 21. In MICCAI’ 21, she co-taught the tutorial on Deep 2D-3D Modeling and Learning in Medical Image Computing.