Author

J. P. Dai

University of Maryland, College ParkORCID 0009-0009-5699-2196Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 2 Approach:contrastive learning· 1

Frequent Co-Authors

Erin K. MolloyiD· 2 shared Yunheng HaniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Erin K. MolloyORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 21, 2026

Is level-1 blob reconstruction under the network multispecies coalescent easy?

J. P. Dai, Erin K. Molloy

The paper investigates whether reconstructing level-1 blobs in phylogenetic networks is easy once the tree of blobs is known, presenting a fast algorithm that achieves comparable accuracy to existing methods.

DOI 10.64898/2026.06.06.730607

statistical modelbenchmarking

𝕏 PostBluesky

BioinformaticsGenome ResearchPeer-reviewedAug 28, 2026

Quartet-based species tree methods enable fast and consistent tree of blobs reconstruction under network multispecies coalescent

J. P. Dai, Yunheng Han, Erin K. Molloy

The paper introduces TOB-QMC, a method for scalable and accurate tree of blobs reconstruction under network multispecies coalescent, improving upon TINNiK in both speed and accuracy.

2 citations

statistical modelcontrastive learning

𝕏 PostBluesky