Author

Jack Vaska

Stony Brook University

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

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Han Liu· 1 shared Max Chao· 1 shared Pallavi SuranaiD· 1 shared Pratik DuttaiD· 1 shared Ramana V. DavuluriiD· 1 shared Rekha SathianiD· 1 shared Zhihan Zhou· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Han Liu

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1 paper

Recent·Most cited

HViLM: A Foundation Model for Viral Genomics Enables Multi-Task Prediction of Pathogenicity, Transmissibility, and Host Tropism

Pratik Dutta, Jack Vaska, Pallavi Surana, Rekha Sathian, Max Chao, Zhihan Zhou, Han Liu, Ramana V. Davuluri

HViLM is a foundation model for viral genomics that predicts pathogenicity, transmissibility, and host tropism across multiple viral families with high accuracy.

bioRxiv · Mar 20, 2026 · PreprintBioinformatics