Author

Daniil M. Bobrovskiy

École Polytechnique Fédérale de LausanneORCID 0000-0001-6390-9930Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Research Focus:trajectory inference· 2 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Albert Dominguez MantesiD· 1 shared Alejandro Tejada-LapuertaiD· 1 shared Alessandro PalmaiD· 1 shared Alessandro ValenteiD· 1 shared Alex R. LedereriD· 1 shared Antonio HerreraiD· 1 shared Artur SzałataiD· 1 shared Aviv RegeviD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperSystems Biology

Albert Dominguez MantesORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 11, 2025

CellFlow enables generative single-cell phenotype modeling with flow matching

Dominik Klein, Jonas Simon Fleck, Daniil M. Bobrovskiy…·Fabian Joachim Theis

CellFlow predicts single-cell phenotypes from complex perturbations using flow matching, demonstrating accuracy in cytokine stimulation, drug treatments, and developmental modeling.

44 citations

scRNA-seqdeep learning

𝕏 PostBluesky

Systems BiologyNature MethodsPeer-reviewedOct 31, 2024

Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations

Alex R. Lederer, Maxine Leonardi, Lorenzo Talamanca…·Gioele La Manno

This paper introduces a statistical RNA velocity model that improves dynamical consistency and inference of cell cycle speed from scRNA-seq data.

29 citationstop 4%

humanscRNA-seq

𝕏 PostBluesky