About
Marcus Friis Klausen is a Lecturer at the Department of Computer Science, University of Copenhagen, affiliated with the Machine Learning section. His work intersects theoretical and applied machine learning across interdisciplinary domains.
Research interests include:
- Quantum machine learning and hardware acceleration
- Explainable AI and model interpretability
- Clinical and healthcare applications of NLP
- Neuroscience-informed language modeling
- Environmentally sustainable AI practices
- Geometric and non-Euclidean deep learning
Recent publications show trends in:
- Quantum computing applications for molecular simulations
- Medical imaging and clinical decision support
- Algorithmic fairness and ethical information retrieval
- Neural network optimization for energy efficiency
- Biological data modeling and remote sensing
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