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.
National Center for Tumor Diseases (NCT) Heidelberg
The National Center for Tumor Diseases (NCT) Heidelberg is a joint institution of the German Cancer Research Center (DKFZ), Heidelberg University Hospital and German Cancer Aid. The NCT's goal is to link promising approaches from cancer research with patient care from diagnosis to treatment, aftercare and prevention. The interdisciplinary tumor outpatient clinic is the central element of the NCT. Here the patients benefit from an individual treatment plan prepared in a timely manner in interdisciplinary expert rounds, the so-called tumor boards. Participation in clinical studies provides access to innovative therapies. The NCT thereby acts as a pioneering platform that translates novel research results from the laboratory into clinical practice. The NCT cooperates with self-help groups and supports them in their work. Since 2015, a second site for the NCT beside Heidelberg has been under development in Dresden.