Author

David DeTomaso

Arsenal Biosciences (United States)Primary ORCID profile (0000-0003-2074-3226 · 6 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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David DeTomasoiD6 papers · University of California, Berkeley

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Research Focus:software / tool· 2 Approach:contrastive learning· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Alexander SuniD· 2 shared Grace X. Y. ZhengiD· 2 shared Patrick C. ThompsoniD· 2 shared Seoyeon KimiD· 2 shared Tuo ShiiD· 2 shared Xin JiniD· 2 shared Aaron R. CooperiD· 1 shared Adam Barner· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenomics

Alexander SunORCID

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3 papers

Recent·Most cited

Distributed AI agents enable comprehensive discovery of biological insights at scale

Alexander Sun, Joshua J Park, David DeTomaso, Seoyeon Kim, Amelia Liu, Suyash Shringarpure, Kenny Kim, Patrick C. Thompson, Tuo Shi, Yunyun Wang, Eran A. Mukamel, Grace XY Zheng, Y Joy Jiao, Xin Jin

The paper introduces distributed AI agents to analyze large-scale biological datasets, demonstrating their ability to rapidly extract insights and predict outcomes across a Perturb-seq atlas.

bioRxiv · Oct 16, 2026 · PreprintGenomics

Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq

Tuo Shi, Maria V. Korshunova, Seoyeon Kim, David DeTomaso, Xinhe Zheng, Lavanya Vishvanath, Thokozile Nyasulu, Nhan Huynh, Alexander Sun, Patrick C. Thompson, Yifan Zhang, Emilie M. Wigdor, Narjes Rohani, Salma Ali, Huixian Qiu, , Xin Jin

The paper maps gene expression responses to loss of 1,947 disease-associated genes across the mouse brain using Perturb-seq, revealing cell-type-specific essentiality and transcriptional programs.

bioRxiv · Mar 18, 2026 · PreprintGenomics

DINOcell: Learning Generalizable Perturbation Effects through Self-Distillation

Jonathan Li, Nilgun Tasdemir, Sofia Kyriazopoulou-Panagiotopoulou, Sophie Xu, Allyson J. Merrell, Josephine Susanto, Ashley A. Cass, David DeTomaso, Holly Steach, Julie C. Chow, Li Wang, Neal G. Ravindra, Aram Kang, Grace X. Y. Zheng, Mary Chua, , Amaro N Taylor-Weiner

DINOcell predicts cellular responses to perturbations using self-distillation in single-cell transcriptomics, outperforming baselines for single and combination gene effects.

bioRxiv · Dec 19, 2025 · PreprintBioinformatics