Author

Pierre Sphabmixay

Massachusetts Institute of TechnologyORCID 0000-0003-0119-9173Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ashleigh M. Williams· 1 shared Blake LashiD· 1 shared Caroline A. LewisiD· 1 shared Damien Demozay· 1 shared Dominick J. HelleniD· 1 shared Erin N. TevonianiD· 1 shared Federico PresuttiiD· 1 shared Jacob Fuglsbjerg Jeppesen· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioengineering

Ashleigh M. Williams

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2 papers

Recent·Most cited

BioengineeringCommunications BiologyPeer-reviewedJan 14, 2026

A Microphysiological Model of Progressive Human Hepatic Insulin Resistance

Dominick J. Hellen, Jessica L. Ungerleider, Erin N. Tevonian…·Linda Gay Griffith

This study uses a human liver microphysiological system to investigate how insulin, glucose, and free fatty acids contribute to hepatic insulin resistance and its reversibility.

3 citationstop 2%

humanexperimental assay

𝕏 PostBluesky

GeneticsbioRxivPreprintMar 30, 2024

ViRNN: A Deep Learning Model for Viral Host Prediction

Pierre Sphabmixay, Blake Lash

ViRNN is a deep learning model that predicts viral hosts from genomic sequences, achieving 90.55% accuracy and outperforming existing methods.

DOI 10.1101/2024.03.30.587436

whole-genome sequencingdeep learning

𝕏 PostBluesky