Author

Suvankar Halder

National Institutes of HealthORCID 0009-0006-3070-4756Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:Drosophila· 1 Organism:human· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Vipul PeriwaliD· 2 shared Christopher M. KimiD· 1 shared Giuliano TestaiD· 1 shared Michael C. LawrenceiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersSystems Biology

Vipul PeriwalORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintFeb 7, 2026

Topological Entropy Correlates with the Predictive Power of Multiplexed Ensemble Reservoir Computing

Suvankar Halder, Christopher M. Kim, Vipul Periwal

This paper introduces DynML, a dynamical systems framework for modeling biological time series, showing that reservoir topological entropy correlates with predictive power.

1 citation

Drosophilabulk RNA-seq

𝕏 PostBluesky

Systems BiologyBiology Methods and ProtocolsPeer-reviewedJan 1, 2025

Donor-Specific Digital Twin for Living Donor Liver Transplant Recovery

Suvankar Halder, Michael C. Lawrence, Giuliano Testa, Vipul Periwal

This study develops a personalized digital twin model for liver recovery using gene expression data from LDLT donors to predict individual recovery trajectories.

7 citations

humanbulk RNA-seq

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