People
People
Chair
Daniel Rückert
Alexander von Humboldt Professor for AI in Medicine and Healthcare; Director, Institute for AI and Informatics in Medicine
Medical Image Computing, Data Science in Medicine, Artificial Intelligence in Medicine
Management
Daniela Kalla
Program Coordinator
Program Coordination, Student Communication, Scientific Project Coordination, Translational Oncology
Deborah Carraro
Executive Assistant
Project Management and Administration, Team Management and Support, Communication and Relations
Hana Hassan
Team Assistant
Administration and Organizational Processes, Team Management and Operational Support, Academic and Higher-Education Administration, Leadership Development and Community Building, Social and Educational Engagement
Hannah Eichhorn
Science Manager
Scientific Project Management, Communication & Collaborations, Science Coordination, MRI Reconstruction & Motion Correction
Senior Researchers
Alexander Ziller
Research Scientist
Artificial Intelligence in Medicine, Privacy-preserving Machine Learning
Ivan Ezhov
Research Scientist
Computational oncology, Physics-based machine learning, Inverse problems
Jiazhen Pan
Research Scientist
LLMs and AI Agents for Medicine, Medical AI Benchmarking and Auditing, Medical Imaging
Julian Suk
Research Scientist
Cardiovascular hemodynamics, Cortical surface analysis, Group-equivariant neural networks, Topology, algebra and geometry in deep learning
Martin Menten
Research Scientist
Medical image analysis, Self-supervised learning, Multimodal deep learning, Ophthalmological imaging
Paula A. Perez-Toro
Research Scientist
Multimodal learning for healthcare, Speech and language biomarkers, Medical image analysis, Large language models in medicine
Philip Müller
Research Scientist
Multimodal Deep Learning, Representation Learning, Vision-Language Modeling
Raphael Rehms
Research Scientist
Probabilistic machine learning, Uncertainty quantification, Bayesian inference
Sevgi Gokce Kafali
Research Scientist
MR Image Reconstruction, MR Image Super Resolution, MR Imaging Segmentation and Analysis
Researchers
Adrian Dendorfer
Doctoral researcher
Alexander Berger
Doctoral researcher
Topology-preserving Image Segmentation, Weakly- and Self-supervised Transfer Learning, Domain Adaptation
Alexander Selivanov
Doctoral researcher
AI in Medical Imaging, Multimodal Learning, Self-supervised Learning
Alexander Weers
Doctoral researcher
Multimodal learning, Reinforcement learning, Graph Neural Networks
Alina Dima
Doctoral researcher
3D Vessel Segmentation, Sparse Annotations, Parametric Models, Differentiable Voxelization
Amna Ahmed Gillani
Doctoral researcher
Andrea Posada Cárdenas
Doctoral researcher
Multimodal learning, Ophthalmological imaging, Generative AI
Anna Curto Vilalta
Doctoral researcher
Foundation Models in Medicine, Multi-Modal Deep Learning, Unsupervised Learning
Ayhan Can Erdur
Doctoral researcher
Semantic Segmentation, Medical Image Analysis (Brain MRI), Survival Modeling, Segmentation Foundation Models
Chengzhi Shen
Doctoral Researcher
Multimodal and Omni-modal Large Models, Agentic Systems, Trustworthy AI
Christian Beischl
Doctoral researcher
Privacy-Preserving ML, Vision Transformers, Self-Supervised Learning
Daniel Scholz
Doctoral researcher
Medical image analysis (mostly brain), Self-supervised representation learning, Generative Models
Dmitrii Seletkov
Doctoral researcher
Risk Assessment, Survival Analysis, Multi-modality, In-context Learning
Florent Dufour
Doctoral researcher
Trustworthy AI, Privacy Enhancing Technologies, Differential Privacy, Trusted Execution Environments, Sovereign Cloud Computing, High-Performance Computing
Florian A. Hölzl
Doctoral researcher
Artificial Intelligence in Medicine, Privacy-preserving Deep Learning, Representation Learning
Friederike Jungmann
Research Scientist
human-in-the-loop machine learning, Explainable and trustworthy AI, Artificial Intelligence in Medicine
Hendrik Möller
Doctoral researcher
Semantic Segmentation, MRI Spinal Segmentation, MRI Vertebrae Detection and Labeling, Spinal Anomalies
Johannes Kaiser
Doctoral researcher
AI in Medical Imaging, Privacy-preserving Machine Learning, Trustworthy Machine Learning
Jonas Weidner
Doctoral researcher
Personalized brain tumor modeling, Physics-informed neural networks, Diffusion tensor imaging, Topological data analysis
Julian McGinnis
Doctoral researcher
Medical Imaging, Implicit Neural Representations, Multiple Sclerosis Research
Kristian Schwethelm
Doctoral researcher
AI in Medicine, Privacy-preserving Machine Learning, Large Language Models
Leonhard Feiner
Doctoral Researcher
Machine Learning and Deep Learning, Medical Image Computing, Data Science
Linus Kreitner
Doctoral researcher
Weakly- and Selfsupervised Machine Learning, Large Language Models, Network Dissection and Explainability
Lucie Huang
Doctoral researcher
Implicit Neural Representations, Generative AI, Ophthalmologic Imaging
Matan Atad
Doctoral researcher
Explainability methods, Physics-informed neural networks, Generative models and latent spaces
Michelle Espranita Liman
Doctoral researcher
Echocardiography, Video Understanding, Video Tokenization, Multimodal AI
Moritz Knolle
Doctoral researcher
Differential Privacy, Fair & Trustworthy ML, Memorisation in Neural Networks
Márton Szép
Doctoral researcher
Natural Language Processing in Medicine, Generative Models, Multimodal AI
Nguyễn Văn Phi
Doctoral Researcher
MRI Reconstruction, Implicit Neural Representations, Generative Models
Niklas Bubeck
Doctoral researcher
Generative AI in Medical Imaging, Medical Image Reconstruction, Representation Learning
Niklas Bühler
Doctoral researcher
Representation learning, Tabular / multimodal foundation models, Disease risk prediction, Self-supervised learning for medical imaging
Nil Stolt-Ansó
Doctoral researcher
Medical Image Segmentation, Image Registration, Geometric Deep Learning
Radoslav Yankov
Doctoral researcher
Reihaneh Torkzadehmahani
Doctoral researcher
Machine Unlearning, Label Noise Learning, Responsible Machine Learning, Generative Models
Ricardo Smits Serena
Doctoral researcher
Medical Wearable Technology, Time Series Classification, Gait Analysis
Sarah Lockfisch
Doctoral researcher
AI in Medical Imaging, Interpretability in Deep Learning, Uncertainty Quantification
Thomas Sedlmeyr
Doctoral researcher
AI in Multimodal Surgical Imaging, Self-supervised Transfer Learning
Vasiliki Sideri-Lampretsa
Doctoral researcher
Artificial Intelligence in Medicine, Image registration, Neural Fields, Geometric Deep Learning
Wenke Karbole
Doctoral researcher
Generative AI, Temporal Representation Modeling, Ophthalmologic Imaging
Wenqi Huang
Doctoral researcher
Image Reconstruction, MRI, Inverse Problems, Implicit Neural Representations
Collaborators
Florian Hinterwimmer
Affiliated Researcher
Multimodal machine learning, Data engineering and medical informatics, Real clinical data
Henrik von Kleist
Affiliated Researcher
Interpretable AI, Uncertainty quantification in ML, Causal inference
Alumni
Dima Usynin
Doctoral researcher
Secure and Private Artificial Intelligence, Differential Privacy, Trustworthy Federated Learning, Memorisation in Large Language Models
George Kaissis
Professor of Human-Centred Transformative AI
Maik Dannecker
Doctoral researcher
Medical Imaging, Implicit Neural Representations, Biomarker Discovery, Brain-Growth Modeling
Robert Graf
Doctoral researcher
Computer Vision for Spine Processing, Image2Image, Denoising Diffusion, Large Epidemiological Studies
Veronika Zimmer
Research Scientist
Medical Image Computing, Ultrasound Image Analysis, Fetal Image Analysis
Mental Health Managers
