Jannis Hagenah is a Postdoctoral Research Fellow at the University of Oxford working in the field of Artificial Intelligence in Medicine. Before that, he was a research associate at the Institute for Robotics and Cognitive Systems, University of Lübeck, Germany, where he worked on his doctoral thesis under the supervision of Prof. Floris Ernst. He received a B.Sc. and M.Sc. in Medical Engineering Science, both from the University of Lübeck. During his studies, he worked at the Xi’an Jiaotong University, PR China, and Dräger, Germany.
The focus of his research lies on the development of Machine Learning methods in the medical domain. He is interested in representation learning, data synthesis, causal inference and deep learning on small, uncertain data. His methods were applied in a variety of tasks, ranging from medical image analysis and computer aided interventions to medical robotics, intelligent sensor analysis, and industrial robotics. Besides his research, Jannis is highly interested in sharing his knowledge and expertise in the scope of courses, tutorials, and seminars on Machine Learning and Artificial Intelligence.