Author

Robin Rydbergh

Chalmers University of TechnologyORCID 0009-0005-1313-2138Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

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Leo AndreksoniD· 1 shared Michaela WenzeliD· 1 shared Rocío MercadoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Leo AndreksonORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 11, 2026

AI-guided discovery for low-resource peptide engineering using evolutionary scale modeling

Leo Andrekson, Robin Rydbergh, Rocío Mercado, Michaela Wenzel

SCARSE is a machine learning framework that improves peptide engineering by combining ESM2 embeddings with Gaussian process regression, outperforming baselines in low-data regimes and enabling efficient active learning.

DOI 10.64898/2026.06.25.734678

protein sequencemachine learning (classical)

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