Shiwei Liu is a Royal Society Newton International Fellow at the University of Oxford. He will join Max Planck Institute for Intelligent Systems as a group leader and ELLIS Institute Tubingen as a PI. He previously served as a Postdoctoral Fellow at the University of Texas at Austin. He obtained his Ph.D. with Cum Laude from Eindhoven University of Technology in 2022. His research focuses on leveraging, understanding, and expanding the role of sparsity and low-rank approximations in neural networks, whose impacts span many important topics, such as efficient training/inference/transfer of large-foundation models, robustness and trustworthiness, and generative AI. He received two Rising Star Awards from KAUST and the Conference on Parsimony and Learning (CPAL).