Thomas Vecchiato

Thomas Vecchiato is a Guest Researcher at the Department of Computer Science, University of Copenhagen, specializing in Machine Learning. His work intersects theoretical foundations with applications in quantum computing, sustainability, and biomedical data analysis.

His research focuses on:

• Quantum-inspired machine learning architectures
• Ethical and sustainable AI development
• Medical imaging and clinical data analysis
• Language models for emotion recognition and healthcare applications

Recent publications highlight advancements in:

• Optical neural network hardware
• Quantum biomolecular energy calculations
• Federated learning for personalized medicine
• Explainability techniques for AI models