Author

Lujing Wu

Stanford MedicinePrimary ORCID profile (0000-0001-8789-1608 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Lujing WuiD2 papers · University of California San Diego

Biology Disciplines

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Genetics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Research Focus:perturbation response prediction· 2 Research Focus:benchmarking· 1 Assay:CRISPR screen· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Courtney KernickiD· 3 shared Theodore L. RothiD· 3 shared Alison K. McClellan· 2 shared Austin HartmaniD· 2 shared Johnathan Lu· 2 shared Katherine E. Santostefano· 2 shared Nicole E. Theberath· 2 shared Oliver Takacsi-Nagy· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersGenetics

Courtney KernickORCID

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Author profile →

3 papers

Recent·Most cited

Stack: In-Context Learning of Single-Cell Biology

Mingze Dong, Abhinav Adduri, Dhruv Gautam, Lujing Wu, Courtney Kernick, Mary Margaret Coons, Yi-Chen Chih, Christopher Carpenter, Rohan M. Shah, Chiara Ricci-Tam, Po‐Yuan Tung, Nianzhen Li, Alexander Dobin, Yuval Kluger, Dave P. Burke, , Yusuf Roohani

SO_SCPLOWTACKC_SCPLOW is a foundation model trained on human single-cell data that enables in-context learning for predicting perturbation effects without fine-tuning.

bioRxiv · Jun 8, 2026 · PreprintBioinformatics

Ultra-large targeted DNA integrations in primary human cells

Courtney Kernick, Lauren Chow, Mikail Alejandro, Ke Li, Maxwell Gabriel Foisey, Xiaoyu Yang, Claire E. Hilburger, Johnathan Lu, Lujing Wu, Alison K. McClellan, Oliver Takacsi-Nagy, Rocco Brajenovic, Nicole E. Theberath, Emily Celallos Fuentes, Erin Lin, , Theodore L. Roth

This paper identifies methods to achieve ultra-large DNA integrations (>10 kb) in human cells with high efficiency using optimized templates and delivery strategies.

bioRxiv · Apr 9, 2026 · PreprintGenetics

A unified genetic perturbation language for human cellular programming

Austin Hartman, Oliver Takacsi-Nagy, Courtney Kernick, Nicole E. Theberath, Johnathan Lu, Lujing Wu, Michelle Mantilla, Siddhesh Mittra, Alison K. McClellan, Nicole Johnson, Lina Mohamad, Lesly Castillo-Colin, Farzad Hoque, Alexander Eapen, Andy Y. Chen, , Theodore L. Roth

CRISPR-All enables genome-scale, combinatorial genetic perturbations in human cells, revealing additive functional improvements through multiplexed modifications.

bioRxiv · Nov 20, 2025 · PreprintGenetics