Author

Jacob Blindenbach

New York Genome CenterORCID 0009-0009-6498-4399Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Approach:contrastive learning· 1 Assay:DNA methylation· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Gamze GürsoyiD· 2 shared Caline S. KaramiD· 1 shared David J. WuiD· 1 shared Gill BejeranoiD· 1 shared Jiayi KangiD· 1 shared Karthik A. JagadeeshiD· 1 shared Seungwan HongiD· 1 shared Shaunak SoniiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 14 mutual co-author links

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2 shared papersBioinformatics

Gamze GürsoyORCID

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3 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedSep 14, 2026

Privacy-Preserving Pangenome Graphs

Jacob Blindenbach, Shaunak Soni, Gamze Gürsoy

PanMixer reduces re-identification risks in pangenome graphs while preserving utility for downstream genomic analyses.

DOI 10.1038/s41467-026-77591-0

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintApr 16, 2024

Ultra-secure storage and analysis of genetic data for the advancement of precision medicine

Jacob Blindenbach, Jiayi Kang, Seungwan Hong…·Gamze Gürsoy

The paper introduces SQUiD, a secure database for storing and analyzing genotype-phenotype data in the cloud, enabling privacy-preserving queries and analyses.

2 citations

humanGWAS summary statistics

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GenomicsNature Computational SciencePeer-reviewedApr 26, 2021

Innocent until proven guilty: Privacy-preserving search over a central CODIS criminal database from the field

Jacob Blindenbach, Karthik A. Jagadeesh, Gill Bejerano, David J. Wu

The paper introduces a cryptographic algorithm that allows private DNA profile matching against a CODIS database without revealing the profile to the database provider.

2 citations

DNA methylationcontrastive learning

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