Susu Hu is a Doctoral Candidate at the National Center for Tumor Diseases (NCT) Heidelberg, focusing on geometric machine learning for surgical outcome predictions since June 2023. Prior experience includes a Master thesis at the DKFZ German Cancer Research Center on neural fields for 3D reconstruction and non-rigid registration, along with weakly supervised segmentation for medical imaging. Previous roles at Fraunhofer IPA involved few-shots learning and active learning, while work at Fraunhofer IPMS centered on mixed-precision neural network quantization for software co-design. Additionally, Susu served as a Software Developer at Robotron Datenbank-Software GmbH, developing deep learning backend software for industrial computer vision, and gained project management experience at Ford Motor Company, as well as supply chain management experience at BSH Home Appliances Group. Susu holds a Master’s degree in Computational Modelling and Simulation from Technische Universität Dresden and a Bachelor of Engineering in Logistics Engineering from Nanjing Agricultural University.