Author

Oluwatomisin Olajide

Broad Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:genetic perturbation / CRISPR· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Marc A. SchwartziD· 2 shared Mohammed MutaheriD· 2 shared Nir HacoheniD· 2 shared Yuri PritykiniD· 2 shared Alina SimerziniD· 1 shared Anisah Adeagbo· 1 shared Arlene H. SharpeiD· 1 shared Arnav MehtaiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersImmunology

Marc A. SchwartzORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Dissecting context-dependent cancer vulnerabilities using Perturb-seq

Samuel Maffa, Isabella Boyle, Lie Ward, William N. Colgan, Patrícia Cristine Borck, Alina Simerzin, Anisah Adeagbo, Oluwatomisin Olajide, Sarah J. Wie, Harry Liang, Kirsty Wienand, Tsukasa Shibue, Judhajeet Ray, Brenton R. Paolella, Catarina D. Campbell, , Joshua M. Dempster

The paper uses Perturb-seq to analyze gene knockouts in cancer cell lines, identifying context-specific gene dependencies and transcriptional responses.

bioRxiv · Aug 25, 2026 · PreprintCancer Biology

Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors

Marc A. Schwartz, Dillon Lue, Mohammed Mutaher, Miriam McNerney, Oluwatomisin Olajide, Arnav Mehta, Jared H. Rowe, Ryan Jin-hyung Park, Mohsen Malehmir, Juan Dubrot, Aziz M. Al’Khafaji, Matt Bakalar, Lynn Bi, Martin W. LaFleur, Kathleen B. Yates, , Nir Hacohen

The paper identifies Trim28 as a regulator of CD8 T cell differentiation in tumors using clonally-resolved CRISPR screens and shows its role in maintaining TCF7+ stem-like cells while impairing effector differentiation.

bioRxiv · Jun 17, 2026 · PreprintImmunology

A community machine learning challenge to predict the effects of gene perturbations on T cell differentiation for cancer immunotherapy

Jiaqi Zhang, Marc A. Schwartz, Mohammed Mutaher, Oluwatomisin Olajide, Yuri Pritykin, Orr Ashenberg, Nir Hacohen, Caroline Uhler

The paper presents a machine learning challenge to predict gene perturbation effects on T cell differentiation, finding that feature representation from perturbational data improves performance and validating top genes experimentally.

bioRxiv · May 22, 2026 · PreprintBioinformatics