Author

Joseph D. Smith

Seattle Children's Research InstituteORCID 0000-0002-7915-6360Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alexis KaushanskyiD· 2 shared Ling WeiiD· 2 shared Christina Ren· 1 shared Harry Higgins· 1 shared Jessica Cardenas· 1 shared Jing‐fei DongiD· 1 shared Kamalakannan VijayaniD· 1 shared Kira M. EvittsiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioengineering

Alexis KaushanskyORCID

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2 papers

Recent·Most cited

A Machine Learning- 3D Microvessel Platform Identifies Kinase Targets Restoring Blood-Brain-Barrier Endothelial Integrity.

Yu Jung Shin, Ling Wei, Sumin Hong, Christina Ren, M. Zigman Jeffrey, Jessica Cardenas, Harry Higgins, Nhi Ho, Kira M. Evitts, Joseph D. Smith, Jing‐fei Dong, Alexis Kaushansky, Ying Yi Zheng

This paper develops a 3D human brain endothelial platform combined with machine learning to identify kinase inhibitors that restore blood-brain barrier integrity in TBI.

bioRxiv · Dec 15, 2025 · PreprintBioengineering

Interrogating endothelial barrier regulation by temporally resolved kinase network generation

Ling Wei, Selasi Dankwa, Kamalakannan Vijayan, Joseph D. Smith, Alexis Kaushansky

This paper introduces TREKING, a method combining kinase inhibitor screens and machine learning to generate time-resolved phosphosignaling networks, revealing MAPK pathway dynamics in endothelial barrier regulation.

Life Science Alliance · Mar 11, 2024Peer-reviewedSystems Biology