Immunome Research
Open Access

Morten Nielsen

Biography

 His primary research interest is focused on developing novel pattern recognition algorithms for the characterization of central features the immune system and different aspects of protein structure. His research in development of novel pattern recognition algorithms aims at developing method that can improve our ability for rational design of vaccines against human and animal infections like HIV, Tuberculosis, Malaria, and food and mouth disease. The algorithms developed include Gibbs sampler, artificial neural networks, position specific scoring matrix (PSSM) construction, sequence clustering, hidden Markov models, and sequence profile-based alignment methods. As a central part of his recent research, He have initiated and led the large initiative put forward by his group in characterizing the immune system diversity in humans and other primates, as well as the genomic variation of pathogenic infections. This research has provided them with new tools that allow for a detailed understanding of why different humans (and animals) react different to different pathogen infections. His strong interest for characterization and development of algorithms used in bioinformatics has led him to conduct a course specialized in this area. The course, Algorithm in Bioinformatics (27623) is running each autumn starting 2008.

Research Interest

 Protein structure, HIV, Tuberculosis, Malaria

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