Andreas Bjerregaard Jeppesen

Andreas Bjerregaard Jeppesen is a Research Fellow at the Department of Computer Science, University of Copenhagen, specializing in Machine Learning. His work bridges theoretical and applied research across diverse domains including quantum computing, biomedical informatics, environmental monitoring, and AI ethics.

The Machine Learning section at DIKU explores foundational algorithms and their applications in

• Medical data analysis
• Remote sensing
• Biological modeling
• Sustainable AI
• Information retrieval

. Andreas contributes to interdisciplinary projects like the SCIENCE AI Centre, leveraging the department's compute cluster for intensive simulations.

His recent publications highlight trends in

• Quantum-inspired neural architectures
• Generative models for protein sequences
• Energy-aware AI development
• Neurological applications of ML
• Climate-conscious computing

. Collaborations span computational biology, quantum chemistry, and federated learning for precision medicine.