Author

Enrique Rojas

Lurie Children's HospitalPrimary ORCID profile (0000-0003-3388-2794 · 5 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Enrique RojasiD5 papers · New York University

Biology Disciplines

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Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Abdalla M. AbdrabouiD· 1 shared Alfred L. GeorgeiD· 1 shared Anna Mei Diehl· 1 shared Auinash KalsotraiD· 1 shared Benjamin Kuznets-SpeckiD· 1 shared Brandon PeifferiD· 1 shared Britta KuusikiD· 1 shared Carsten MarriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperSystems Biology

Abdalla M. AbdrabouORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

ExPert infers causal perturbations from cell states across biological and clinical contexts

Leon Schwartz, Jacob L. Schlamowitz, Benjamin Kuznets-Speck, Conor W. Johnson, Diptatanu Das, Emanuelle I. Grody, Tao Bai, Hanxiao Sun, Irish Senthilkumar, Gillian Primavera, Jaekwon Jung, Britta Kuusik, Rogan A. Grant, Enrique Rojas, Abdalla M. Abdrabou, , Yogesh Goyal

ExPert infers causal perturbations from cell states by learning prototypes across 12 contexts, achieving high recall with low compute and validating findings in disease models.

bioRxiv · Nov 3, 2026 · PreprintSystems Biology

Excitatory Dysfunction and Phenotypic Rescue in a Human Neuronal Model of SCN2A-Related Disorders

Sashmita Panda, Diana Jazmin Ixmatlahua Ribera, Luis A. Williams, Sheng Tang, Karthiayani Harikrishnan, Vaibhav Joshi, Steven J. Ryan, Chinwendu Obi Obasi, Linda Laux, Enrique Rojas, Owen Mcmanus, Graham T. Dempsey, Alfred L. George, Scott K. Adney

This study examines the impact of a SCN2A pathogenic variant in human neurons using electrophysiology and machine learning, showing that sodium channel blockers can restore normal function.

bioRxiv · May 19, 2026 · PreprintNeuroscience