Victor Greiff

Associate Professor

University of Oslo

Norway

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Research Interests

Immunology

100%

Cell Biology

30%

Antibodies

90%

Immune Response

60%

Immunogenetics

50%

B Cell Biology

40%

Protein Expression

30%

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Recent Grants

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Digital Design av Antistoffer

Open Date: 2020-01-01

Close Date: 2024-12-31

Articles19

MHC heterozygosity limits T cell receptor variability in CD4 T cells

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Year:

2024

Best practices for machine learning in antibody discovery and development

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Year:

2024

Linguistics-based formalization of the antibody language as a basis for antibody language models

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2024

Author Correction: The dengue-specific immune response and antibody identification with machine learning

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2024

Adaptive immune receptor repertoire analysis

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2024

Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics

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2024

The dengue-specific immune response and antibody identification with machine learning

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2024

NKG2A discriminates natural killer cells with a suppressed phenotype in pediatric acute leukemia

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2024

ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns

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2024

Assessing developability early in the discovery process for novel biologics

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Year:

2023

Defining and Studying B Cell Receptor and TCR Interactions

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Year:

2023

Pathology and Molecular Biology of Melanoma

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Year:

2023

Linguistically inspired roadmap for building biologically reliable protein language models

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Year:

2023

The evolutionary and functional significance of germline immunoglobulin gene variation

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Year:

2023

In silico proof of principle of machine learning-based antibody design at unconstrained scale

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Year:

2022

Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies

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2022

Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction

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2022

Bridging the neutralization gap for unseen antibodies

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Year:

2022

Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarking

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Year:

2022

Collaborators12

Andreas Hougaard Laustsen

Technical University of Denmark

DENMARK

Bjørn Gunnar Voldborg

Technical University of Denmark

DENMARK

Anne Ljungars

Technical University of Denmark

DENMARK

Timothy P. Jenkins

Technical University of Denmark

DENMARK

Encarnita Mariotti-Ferrandiz

Associate professor

Sorbonne Université

FRANCE

Bartlomiej Swiatczak

University of Cambridge

UNITED KINGDOM

Nicholas Wu

Assistant Professor

University of Illinois at Urbana-Champaign

UNITED STATES

Jennifer Matsuda

Professor and Director, Genetically Engineered Murine Models (GEMM)

University of Colorado Anschutz Medical Campus

UNITED STATES

Jan Terje Andersen

University of Oslo

NORWAY

Enkelejda Miho

Professor for Digital Life Sciences

Fachhochschule Nordwestschweiz

SWITZERLAND

Lise Marie Grav

Technical University of Denmark

DENMARK

Geir K Sandve

University of Oslo

NORWAY

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