Author

Kaixuan Huang

Princeton UniversityORCID 0000-0001-8845-2770Unclaimed 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 Assay:DNA methylation· 1 Organism:human· 1 Approach:large language model· 1 Organism:multiple species· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Le CongiD· 2 shared Mengdi WangiD· 2 shared Dan YuiD· 1 shared Denny Zhou· 1 shared Di YiniD· 1 shared Dyllan Liu· 1 shared Henry C. CousinsiD· 1 shared Jason Y. ZhangiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Le CongORCID

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2 papers

Recent·Most cited

BioinformaticsNature Biomedical EngineeringPeer-reviewedJul 30, 2025

CRISPR-GPT for Agentic Automation of Gene Editing Experiments

Yuanhao Qu, Kaixuan Huang, Ming Yin…·Le Cong

CRISPR-GPT automates CRISPR-based gene-editing design and analysis by integrating LLMs with domain expertise, demonstrating effectiveness in gene knockout and activation experiments.

146 citationstop 1%

humanlarge language model

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BioinformaticsNature Machine IntelligencePeer-reviewedApr 5, 2024

A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions

Yanyi Chu, Dan Yu, Yupeng Li…·Mengdi Wang

This paper introduces a language model for 5' UTRs that improves predictions of translation efficiency and mRNA expression, and validates novel 5' UTR designs through wet-lab experiments.

144 citationstop 1%

multiple speciesDNA methylation

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