Julius Hense is a PhD student in the Machine Learning Group and BIFOLD Graduate School. Prior to this, he worked as a Machine Learning Engineer in a digital pathology startup. He received an MSc in Computer Science from the University of Oxford. His research focuses on multimodal machine learning, representation learning, and explainable AI, specifically applied to clinical pathology and oncology.