Author

Michael D. Kupperman

Los Alamos National LaboratoryORCID 0000-0003-0340-488XUnclaimed 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 Assay:DNA methylation· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1 Approach:simulation· 1

Frequent Co-Authors

Ruian KeiD· 2 shared Thomas LeitneriD· 2 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Ruian KeORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 30, 2023

Identifying Impacts of Contact Tracing on Epidemiological Inference from Phylogenetic Data

Michael D. Kupperman, Ruian Ke, Thomas Leitner

The paper develops a simulation tool to assess how contact tracing affects phylogenetic inferences from molecular epidemiology data.

1 citation

DNA methylationsimulation

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedOct 14, 2022

A deep learning approach to real-time HIV outbreak detection using genetic data

Michael D. Kupperman, Thomas Leitner, Ruian Ke

This paper develops a deep learning method for real-time HIV outbreak detection using genomic data, achieving high specificity and sensitivity in identifying outbreaks.

15 citations

humanDNA methylation

𝕏 PostBluesky