Author

Florian Hugi

ETH ZurichORCID 0009-0006-4840-0638Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:perturbation response prediction· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Randall J. PlattiD· 2 shared Gunnar RätschiD· 1 shared Jack KuipersiD· 1 shared Niko BeerenwinkeliD· 1 shared Tanmay TannaiD· 1 shared Xi WangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Randall J. PlattORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 12, 2026

Reliable single-cell perturbations explain and improve model performance

Xi Wang, Jack Kuipers, Florian Hugi…·Niko Beerenwinkel

The paper evaluates perturbation reliability in single-cell data and shows that using reliable perturbations improves model performance and reduces training data needs.

DOI 10.64898/2026.08.11.744177

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 15, 2025

Perturbation-aware representation learning for in vivo genetic screens

Florian Hugi, Tanmay Tanna, Randall J. Platt, Gunnar Rätsch

This paper develops a method to learn perturbation-aware representations from CRISPR screens using single-cell transcriptomics, improving the identification of perturbation effects on gene expression.

DOI 10.1101/2025.10.15.682661

scRNA-seqstatistical model

𝕏 PostBluesky