Ole Lund

Ole Lund is a Professor in the Department of Health Technology at the Technical University of Denmark (DTU), affiliated with the Health Bioinformatics and Personal Medicine group and DTU Microbes Initiative. His research focuses on developing computational methods for biological and medical applications.

Professor Lund's research interests span bioinformatics, genomics, and microbiology, with particular expertise in:

• Metagenomic analysis and microbiome studies
• Pathogen detection and antimicrobial resistance
• Machine learning applications in genomics
• Immunoinformatics and epitope prediction
• Large-scale genomic data integration

His recent publications demonstrate a strong focus on developing novel bioinformatics tools for microbial genomics, pathogen detection, and machine learning applications in genomics. The research shows consistent emphasis on translational bioinformatics approaches that bridge computational methods and biomedical applications.

Professor Lund currently supervises multiple PhD students in diverse research areas:

• Explainable AI and Bioinformatics for Health (K. A. Papagoras)
• Causal language models for disease landscapes (F. S. Gade)
• Patient trajectory prediction in oncology (P. Quarles van Ufford)
• T cell specificity prediction methods (S. N. Deleuran)
• Immune receptor immunoinformatics (J. N. Clifford)