Author

Julia Savino

Icahn School of Medicine at Mount Sinai

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abigaël A. Thinakaran· 1 shared Alexander KolevzoniD· 1 shared Catherine SanciminoiD· 1 shared Danielle B. HalperniD· 1 shared Evan SchafferiD· 1 shared Jennifer H. Foss‐FeigiD· 1 shared Jessica ZweifachiD· 1 shared Joseph D. BuxbaumiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Abigaël A. Thinakaran

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1 paper

Recent·Most cited

Identifying Phelan-McDermid-Like Electrophysiological Subtypes in Autism Using EEG and Machine Learning

Shaun Kohli, Evan Schaffer, Julia Savino, Abigaël A. Thinakaran, Serena Cai, Danielle B. Halpern, Jessica Zweifach, Catherine Sancimino, Paige M. Siper, Joseph D. Buxbaum, Jennifer H. Foss‐Feig, Alexander Kolevzon, Shlomit Beker

The paper uses EEG and machine learning to identify electrophysiological subtypes in autism, finding a PMS-like subgroup in idiopathic ASD with reduced gamma-band phase-locking.

bioRxiv · Apr 10, 2026 · PreprintNeuroscience