Junior Research Groups
Human-Centered NLP
Michael Hedderich and his team research the intersection of machine learning, NLP, and human-computer interaction, focusing on human factors, explainability, and validating AI with application experts to ensure impactful, context-aware solutions.
Multi-Modal Learning
Almut Sophia Koepke and her team research multi-modal learning from vision, sound, and text, focusing on video understanding, temporal dynamics, cross-modal relationships, and adapting large pre-trained models for audio-visual tasks. Funded as a BMBF project, the group explores research areas that go beyond our current focus while maintaining a close collaboration with MCML.
Ethics of AI
Benjamin Lange and his team explore ethical issues in AI and ML, combining philosophical analysis with interdisciplinary exchange, public engagement, and practical collaborations to address moral and social implications.
AI for Vision
Marin Menten and his team focus on machine learning for medical imaging, specializing in data-scarce healthcare applications and ophthalmology through multimodal integration and advanced algorithms. Supported by DGF funding, the group explores new research directions that complement and expand MCML’s scope while maintaining a strong connection to the center.
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