Author

Gina Choe

Princeton UniversityORCID 0000-0002-5345-0123Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:benchmark study· 2 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Ariel GoldsteiniD· 3 shared Samuel A. NastaseiD· 3 shared Uri HassoniD· 3 shared Adeen FlinkeriD· 2 shared Aditi Rao· 2 shared Avinatan HassidimiD· 2 shared Bobbi Aubrey· 2 shared Daniel J. FriedmaniD· 2 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Ariel GoldsteinORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

EpiATLAS - a reference for human epigenomic research

Quirin Manz, Misha Bilenky, Dennis Hecker, Nihit Aggarwal, Juliana Estefania Arcila-Galvis, Shamim Ashrafiyan, Nina Baumgarten, Fatemeh Behjati Ardakani, Paulo R. Branco Lins, Charles E. Breeze, David Brownlee, David Bujold, Alec R. Chapman, Savio Ho-Chit Chow, Tevfik Umut Dincer, , Samuel A. J. R. Aparicio

EpiATLAS provides a comprehensive collection of human reference epigenomes to advance epigenomic research and understanding of cellular function and disease.

bioRxiv · Jun 26, 2026 · PreprintGenomics

Deep speech-to-text models capture the neural basis of spontaneous speech in everyday conversations

Ariel Goldstein, Haocheng Wang, Leonard Niekerken, Zaid Zada, Bobbi Aubrey, Tom Sheffer, Samuel A. Nastase, Harshvardhan Gazula, Mariano Schain, Aditi Singh, Aditi Rao, Gina Choe, Catherine Kim, Werner Doyle, Daniel J. Friedman, , Uri Hasson

The paper uses a deep speech-to-text model to predict neural responses during spontaneous conversations, revealing a distributed cortical hierarchy for speech and language processing.

bioRxiv · Jun 26, 2023 · PreprintNeuroscience

Narratives: fMRI data for evaluating models of naturalistic language comprehension

Samuel A. Nastase, Yunfei Liu, Hanna Hillman, Asieh Zadbood, Liat Hasenfratz, Neggin Keshavarzian, Janice Chen, Christopher John Honey, Yaara Yeshurun, Mor Regev, Mai Nguyen, Claire H. C. Chang, Christopher A. Baldassano, Olga Lositsky, Erez Simony, , Uri Hasson

The paper introduces a benchmark dataset of fMRI data from human subjects listening to naturalistic stories for evaluating language and narrative comprehension models.

bioRxiv · Dec 23, 2020 · PreprintNeuroscience

Thinking ahead: prediction in context as a keystone of language in humans and machines

Ariel Goldstein, Zaid Zada, Eliav Buchnik, Mariano Schain, Amy Rose Price, Bobbi Aubrey, Samuel A. Nastase, Amir Feder, Dotan Emanuel, Alon Cohen, Aren Jansen, Harshvardhan Gazula, Gina Choe, Aditi Rao, Se Catherine Kim, , Uri Hasson

In nine epilepsy patients, cortical activity carries next-word information up to 800 ms before onset, tracks GPT-2 surprise after onset, and fits GPT-2 contextual embeddings better than static ones.

bioRxiv · Dec 2, 2020 · PreprintNeuroscience✦ In-depth digest