Thor Alexander Bøje Simonsen

Thor Alexander Bøje Simonsen is an Instructor at the Department of Computer Science, University of Copenhagen, focusing on interdisciplinary research at the intersection of machine learning, quantum computing, and real-world applications. He is affiliated with the SCIENCE AI Centre and contributes to projects in sustainability, medical data analysis, and quantum-enhanced algorithms.

His research spans theoretical and applied domains, including:

• Quantum computing for biomolecular simulations
• Environmentally sustainable AI systems
• Medical data analysis and clinical decision support
• Image reconstruction and remote sensing
• Explainable AI for large language models

Thor's work engages with cutting-edge challenges in machine learning, from hardware acceleration to ethical considerations in clinical contexts. He is part of the university's Machine Learning Section, which has access to a dedicated compute cluster and collaborates with initiatives like TreeSense for global tree resource monitoring.