Author

Irene Khavin

University of Pennsylvania

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Ajinkya PattekariD· 1 shared Akira Nair· 1 shared Alexander Chan Chi HuangiD· 1 shared Alfred L. GarfalliD· 1 shared Ali NajiiD· 1 shared Allison R. GreenplateiD· 1 shared Amit Bar‐OriD· 1 shared Amy E. BaxteriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

Ajinkya PattekarORCID

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1 paper

Recent·Most cited

Deep learning representations of human Immune Health for precision immunology

Matthew Lee, Jaesik Kim, Matei Ionita, Michelle L. McKeague, Jonghyun Lee, Yonghyun Nam, Chang-Uk Jeong, Akira Nair, Edmore T Moyo, Irene Khavin, Keving Wang, Shwetank, Divij Mathew, Victoria Fang, Benjamin A. Fensterheim, , E. John Wherry

The paper develops MAESTRO, a self-supervised deep learning framework to transform immune profiles into embeddings capturing immune health, enabling clinical prediction and precision immunotherapy.

bioRxiv · Jul 20, 2026 · PreprintImmunology