Author

Ezequiel Goldschmidt

Hoag Memorial Hospital PresbyterianPrimary ORCID profile (0000-0001-5393-4438 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Ezequiel GoldschmidtiD2 papers · Harvard University

Biology Disciplines

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Developmental Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Arda Demirci· 1 shared Brendan Lapointe RaizenneiD· 1 shared Christopher M. HeaphyiD· 1 shared Franklin W. HuangiD· 1 shared Hanbing SongiD· 1 shared Hannah N. W. WeinsteiniD· 1 shared Isaac Salzman· 1 shared Jon AkutagawaiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Arda Demirci

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2 papers

Recent·Most cited

Brain folding as a Fourier series yields a developmental clock

Ezequiel Goldschmidt

This paper uses spherical harmonic expansions to model fetal brain development, showing that truncating the series at different harmonic degrees reveals developmental stages and predicts gestational age.

bioRxiv · Jul 28, 2026 · PreprintDevelopmental Biology

A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasis

Hanbing Song, Junxiang Xu, Keila Velázquez-Arcelay, Arda Demirci, Brendan Lapointe Raizenne, Sarah C. Hsu, Joshua Choi, Julia H. Pham, Yih-An Chen, Hannah N. W. Weinstein, Isaac Salzman, Margaret Tsui, Jon Akutagawa, Wisdom Adingo, Ezequiel Goldschmidt, , Franklin W. Huang

The paper constructs a single-cell and spatial atlas of prostate cancer to reveal gene modules driving lineage plasticity and metastasis, identifying new biological insights and a transformer-based model for cell-state classification.

bioRxiv · Mar 27, 2026 · PreprintGenomics