
About
Victor Greiff is a Professor at the University of Oslo's Institute of Clinical Medicine, leading the Computational and Systems Immunology group. His research focuses on integrating high-throughput single-cell sequencing, artificial intelligence, and high-dimensional statistics to advance therapeutic antibody design, diagnostics, and vaccine development for infectious diseases, autoimmunity, and cancer.
- Key Research Areas: Computational immunology, adaptive immune receptor repertoires, machine learning in antibody discovery, bioinformatics, structural biology, and immune diagnostics.
- Funding: European Research Council (ERC) Grant AB-AG-INTERACT (Project ID: 101125630).
Recent Publications highlight interdisciplinary work in:
- Machine learning for antibody design and immune repertoire classification.
- Structural analysis of antibody-antigen interactions and evolutionary immunogenetics.
- Development of bioinformatics tools (e.g., ExpoSeq, TCRpower, CompAIRR) for immune sequencing data analysis.
Scientific Contributions include:
- Establishing computational frameworks for synthetic immune repertoire generation.
- Exploring genetic constraints on TCR and BCR diversity.
- Advancing AI-driven antibody engineering for improved therapeutic developability.
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