Lu Mi joined the Allen Institute and the University of Washington as a Shanahan Foundation Fellow in the fall of 2022. She has a Ph.D. in Computer Science at MIT CSAIL. In her Ph.D. study work with Prof. Nir Shavit, she developed machine learning tools for fast and scalable automatic connectomics pipelines to discover the brain, and linking the anatomical structure and neural activity for whole-brain modeling. In the current collaboration with investigators at the Allen Institute and the University of Washington, Lu is developing interpretable deep learning approaches including probabilistic modeling and representation learning to understanding biological and artificial neural networks with multi-modal neural data. She is interested in understanding the robustness and efficiency of the brain in coding, computation and learning.