Victor Greiff
Scholar

Victor Greiff

Google Scholar ID: 7ibUgaEAAAAJ
Associate Professor, Laboratory for Computational and Systems Immunology, University of Oslo
Adaptive ImmunityComputational BiologyArtificial Intelligence
Citations & Impact
All-time
Citations
5,478
 
H-index
40
 
i10-index
73
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published multiple papers on computational immune repertoire analysis in journals such as Cell Reports, Journal of Immunology, Genome Medicine, BMC Immunology, and arXiv.org
  • Selected publications include:
  • Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires (2017)
  • Learning the high-dimensional immunogenomic features that predict public and private antibody repertoires (J Immunol, 2017)
  • Systems analysis reveals high genetic and antigen-driven predetermination of antibody repertoires throughout B-cell development (Cell Reports, 2017)
  • A bioinformatic framework for immune repertoire diversity profiling enables detection of immunological status (Genome Medicine, 2015)
  • Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice (BMC Immunology, 2014)
Research Experience
  • Leads the Computational and Systems Immunology research group
  • Leads multiple research projects, including:
  • AB-AG-INTERACT: Understanding the rules of antibody-antigen binding
  • Developing deep learning methods to decipher the 'language' of immune repertoires for vaccine, diagnostic, and therapeutic applications
  • Building experimental platforms that combine droplet-based single-cell sequencing with large-scale mass spectrometry to resolve serum antibody repertoires at single-antibody resolution
  • AB-AG-DESIGN: Rule-guided in silico design of antibodies and antigens to accelerate therapeutic development