Author

Max Russo

Pfizer (United States)ORCID 0000-0002-3822-6350Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:large language model· 1 Research Focus:perturbation response prediction· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Daniel WongiD· 1 shared Djork-Arné ClevertiD· 1 shared Evanthia E. PashosiD· 1 shared Jason D. ArroyoiD· 1 shared Jiao Qiao· 1 shared Mary E. PiperiD· 1 shared Pierre Jean· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Daniel WongORCID

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1 paper

Recent·Most cited

Phenotypic reversion and target prioritization for cellular inflammation via representation learning with foundation models

Daniel Wong, Mary E. Piper, Jiao Qiao, Max Russo, Pierre Jean, Djork-Arné Clevert, Jason D. Arroyo, Evanthia E. Pashos

The paper uses single-cell foundation models to identify genetic targets that reverse inflammation in endothelial cells by analyzing Perturb-seq data with and without proinflammatory stimulation.

bioRxiv · Mar 6, 2026 · PreprintBioinformatics