About
Benjamin Bogø is a Research Fellow at the Department of Computer Science, University of Copenhagen. His work bridges algorithmic complexity, machine learning, and quantum computing, with a focus on sustainable AI and cross-cultural applications. He is affiliated with the SCIENCE AI Centre and contributes to the department's compute cluster initiatives.
Benjamin's research interests include:
- Quantum computing applications in neural networks
- AI explainability and ethical frameworks
- Algorithm optimization for complex systems
- Climate-aware machine learning
- Interdisciplinary biomedical and cultural data analysis
His recent publications analyze:
- Quantum-classical hybrid systems (15% of articles)
- Large language model interpretability (20% of articles)
- Medical and ecological applications (30% of articles)
- Quantum hardware optimization (25% of articles)
- Algorithmic fairness in recommender systems (10% of articles)
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