Kristoffer Haurum Johansen

This paper introduces a supervised learning denoising method to identify low-quality labels in TCR specificity data, improving model reliability by filtering noisy examples.

Odin-Multi is a binder design framework that optimizes sequences against multiple targets simultaneously, improving cross-reactivity and specificity compared to single-target methods.

This paper introduces a hybrid quantum-classical pipeline for designing MHC-binding peptides, showing that quantum-derived priors improve the yield of strong binders, especially for understudied HLA alleles.

This study shows that Ag-Neo2/15 scaffolds expand antigen-specific T cells with enhanced cytotoxicity and reduced dysfunctionality compared to Ag-IL2/21 scaffolds.

This study identifies HLA class I-restricted CD8+ T-cell epitopes in RA and shows how citrullination affects antigen recognition and T-cell clonotype stability.

This study shows that mRNA-delivered consensus allergens induce neutralizing IgG responses against multiple food and pollen allergens, offering a safer and broader allergy immunotherapy approach.

ITRAP2 improves TCR-pMHC pairing accuracy by reducing noise and cross-contamination in single-cell data, outperforming existing methods on both in-house and public datasets.

This study develops antigen-scaffold technology to expand CAR and TCR T cells with improved functionality and efficacy.

This paper designs de novo pMHC binders using generative models to create T cell-based cancer therapeutics with high specificity and minimal cross-reactivity.