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.

  • Computational Pathology
  • Multimodal Learning
  • Representation Learning
  • Explainable AI
  • Medical Image Analysis
  • MSc in Computer Science, 2020

    University of Oxford

  • BSc in Computer Science, 2019

    RWTH Aachen University

  • BSc in Business Administration and Economics, 2015

    FernUniversität in Hagen