Morten Nielsen

Morten Nielsen is a Professor at the Department of Health Technology, Technical University of Denmark, specializing in Bioinformatics with a focus on Immunoinformatics and Machine Learning. His research develops pattern recognition algorithms for immune system characterization and protein structure analysis, contributing to vaccine design against infectious diseases like HIV and tuberculosis.

• Professor since 2008
• Director of Algorithm in Bioinformatics course (27623)
• Active in 8 current and 27 completed research projects

Research spans epitope prediction, T-cell receptor modeling, and genomic variation analysis of pathogens. Recent work (2024) includes cancer neo-epitope immunogenicity studies, B-cell epitope prediction tools (DiscoTope-3.0), and TCR specificity modeling using machine learning.

Current projects involve deep immune receptor modeling, personalized neoantigen screening, and autoimmunity pattern identification, with students including L. Machado, B. Scapolo, S. N. Deleuran, G. Nos, and A. B. Saksager.