Author

Kavi Gupta

Massachusetts Institute of TechnologyPrimary ORCID profile (0000-0003-4089-6684 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Kavi GuptaiD1 paper · MIT

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Christopher B. BurgeiD· 2 shared Armando Solar-LezamaiD· 1 shared Bram L. GorisseniD· 1 shared Chenxi YangiD· 1 shared Hannah N. Jacobs· 1 shared Hilary K. FinucaneiD· 1 shared Jérémy GueziD· 1 shared Kayla McCueiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenetics

Christopher B. BurgeORCID

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2 papers

Recent·Most cited

Widespread naturally variable human exons aid genetic interpretation

Hannah N. Jacobs, Bram L. Gorissen, Jérémy Guez, Masahiro Kanai, Kavi Gupta, Hilary K. Finucane, Konrad J. Karczewski, Christopher B. Burge

The paper identifies naturally variable exons in human transcripts, showing their prevalence and impact on gene expression and genetic interpretation.

Nature Communications · Dec 16, 2025Peer-reviewedGenetics

Improved modeling of RNA-binding protein motifs in an interpretable neural model of RNA splicing

Kavi Gupta, Chenxi Yang, Kayla McCue, Osbert Bastani, Phillip A. Sharp, Christopher B. Burge, Armando Solar-Lezama

The paper introduces an interpretable neural model for RNA splicing that improves RBP binding and activity predictions using an Adjusted Motif architecture.

Genome biology · Jan 16, 2024Peer-reviewedGenomics