Author

NYSCF Global Stem Cell Array Team

New York Stem Cell Foundation

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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Cell Biology· 1 Developmental Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Daniel J PaulliD· 2 shared Scott NoggleiD· 2 shared A. Daigavane· 1 shared A. Duren-Lubanski· 1 shared A. Geraschenko· 1 shared A. Narayanaswamy· 1 shared Agnieszka D’Antonio‐ChronowskaiD· 1 shared Alanna C. CoteiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersDevelopmental Biology

Daniel J PaullORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genetics of growth rate in induced pluripotent stem cells

Brian N. Lee, Henry J. Taylor, Filippo Cipriani, Narisu Narisu, Catherine C. Robertson, Amy J. Swift, Neelam Sinha, Tingfen Yan, Lori L. Bonnycastle, Nathan Dale, Annie Butt, Hemant Parsaud, Stefan Semrau, NYSCF Global Stem Cell Array Team, Joshua W. Knowles, , D. Leland Taylor

The paper identifies genetic factors influencing iPSC growth rates, finding rare variants in WDR54 and a polygenic background explaining most variance.

Stem Cell Reports · May 21, 2026Peer-reviewedDevelopmental Biology

Common genetic variation impacts molecular stress response in the brain

Carina Seah, Rebecca H. Signer, Michael Deans, Heather N. Bader, Tom Rusielewicz, Emily M. Hicks, Hannah E. Young, Alanna C. Cote, Kayla G. Townsley, Changxin Xu, Christopher J. Hunter, Barry McCarthy, Jordan Goldberg, Saunil Dobariya, Paul E. Holtzherimer, , Laura M. Huckins

The paper identifies stress-interactive eQTLs that dysregulate gene expression in the brain under stress, uncovering novel genes linked to brain disorder risk in traumatic stress contexts.

bioRxiv · Dec 27, 2023 · PreprintGenetics

Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts

L. Schiff, B. Migliori, Y. Chen, D. Carter, C. Bonilla, J. Hall, M. Fan, E. Tam, S. Ahadi, B. Fischbacher, A. Geraschenko, C. J. Hunter, S. Venugopalan, S. DesMarteau, A. Narayanaswamy, , Yang

This study develops a platform combining deep learning and high-content imaging to identify disease-specific phenotypes in Parkinson's fibroblasts, achieving high accuracy in distinguishing disease subtypes.

bioRxiv · Nov 13, 2020Cell Biology