Author

Dani Korpela

Aalto UniversityORCID 0000-0002-2845-8836Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Alexandru DumitrescuiD· 2 shared H Lähdesmäki· 2 shared Adrian M. BebenekiD· 1 shared Anna Eunyoung Ju· 1 shared Daniel B. GrahamiD· 1 shared G Raisz LawrenceiD· 1 shared Jennifer G. AbeliniD· 1 shared Karl R. ClauseriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

Alexandru DumitrescuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 17, 2026

Peptide-HLA II interaction prediction for post-translationally modified peptides

Alexandru Dumitrescu, Dani Korpela, Adrian M. Bebenek…·Ramnik J. Xavier

The paper develops a deep learning model to predict peptide-HLA II interactions for post-translationally modified peptides, showing accurate predictions on unseen modifications.

DOI 10.64898/2026.08.07.743493

humanproteomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 16, 2026

PepCABO: Latent-space Bayesian optimization for peptide-MHC binding using contrastive alignment

Mohsen Ghane, Dani Korpela, Alexandru Dumitrescu, H Lähdesmäki

PepCABO improves peptide-MHC binding optimization using contrastive alignment and Bayesian optimization in a latent space, outperforming baselines across multiple alleles.

DOI 10.64898/2026.03.13.711540

Bayesian inferencevariational autoencoder

𝕏 PostBluesky