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  • Feinstein Institutes (opens in new tab)
  • Northwell Health (opens in new tab)
  • Zucker School of Medicine (opens in new tab)

© 2026 Division of Health AI, Northwell Health. All rights reserved.

Team

Todd Levy, MS

Senior Biomedical Engineer

Todd Levy is a Senior Biomedical Engineer at the Division of Health AI, Feinstein Institutes for Medical Research, with an MS in Electrical Engineering from Case Western Reserve University and a post-masters certificate in Applied Biomedical Engineering from Johns Hopkins University. He specializes in neural decoding and data analytics, applying signal processing and machine learning to advance bioelectronic medicine research. As a key contributor to the Division of Health AI and the Neural and Data Science laboratory, Levy has co-authored 17 publications including papers in Nature Communications and JAMA, with research focus on COVID-19 prognostic models, vagus nerve signal recording and analysis, and development of self-monitoring auto-updating clinical models.

7 projects·17 papers

Todd Levy
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Research

Projects

Division project

Computational models of vagus nerve stimulation

Histologically realistic models of the cervical vagus nerve that predict which fibers a stimulation pattern will activate, used to design selective, organ-specific vagus nerve stimulation.

Division project

Decoding the vagus nerve: preclinical recording and interpretation

Recording from the mouse vagus nerve, chronically and wirelessly, and decoding what its neurons report about inflammation and metabolism, toward bioelectronic devices that diagnose and treat from neural signals.

Division project

Nursing workforce forecasting

Machine learning models using DeepAR probabilistic forecasting predict nursing workforce demand across Northwell's hospital units up to 12 months ahead, supporting preemptive hiring and staffing decisions across diverse specialties.

Elmezzi Scholars

Deep learning in pancreatic cancer and PET interpretation

Machine learning to predict completion of treatment for pancreatic cancer, and systematic reviews of deep learning for PET image interpretation and for pancreatic cancer care.

Federally funded · SPARC

REVA: the human vagus nerve atlas

A comprehensive anatomical dataset of 60 human vagus nerves (30 left, 30 right), spanning millions of micro-CT images across hundreds of terabytes of data. Using 3D nnU-Net segmentation, this project builds a detailed vagus digital twin to guide the design of selective vagus nerve stimulation therapies, part of a $6.7 million NIH SPARC award in collaboration with the TNP Lab.

Archive · 2

  • COVID-19 clinical decision support2020 to 2023
  • Autonomic function quantification and taVNS physiology2020 to 2021

Publications

Selected papers

International Journal of Neural SystemsDec 2025

Longitudinal characterization of compound action potentials in chronic vagus nerve recordings in mice

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Jul 2025

An Artificial Intelligence-Based Probabilistic Forecasting Model for Predicting Nursing Workforce Demand in Hospital Units

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Nature CommunicationsMay 2025

Control of spatiotemporal activation of organ-specific fibers in the swine vagus nerve by intermittent interferential current stimulation

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Journal of Surgical OncologyAug 2024

Machine learning to predict completion of treatment for pancreatic cancer

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JCI InsightJun 2024

Factors associated with immune responses to SARS-CoV-2 vaccination in autoimmune disease individuals

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International Journal of Medical InformaticsNov 2023

Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York

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Clinical ImagingMar 2023

The association of clinically relevant variables with chest radiograph lung disease burden quantified in real-time by radiologists upon initial presentation in individuals hospitalized with COVID-19

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Brain StimulationFeb 2023

Organ- and function-specific anatomical organization of vagal fibers supports fascicular vagus nerve stimulation

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BMC MedicineNov 2022

Prognostic models for COVID-19 needed updating to warrant transportability over time and space

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Nature CommunicationsNov 2022

Development and Validation of Self-Monitoring Auto-Updating Prognostic Models of Survival for Hospitalized COVID-19 Patients

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VaccinesSep 2022

High Frequency of COVID-19 Vaccine Hesitancy among Canadians Immunized for Influenza: A Cross-Sectional Survey

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Bioelectronic MedicineAug 2021

A method to quantify autonomic nervous system function in healthy, able-bodied individuals

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International IEEE/EMBS Conference on Neural Engineering (NER)May 2021

Noninvasive, multimodal assessment of physiological responses to transcutaneous auricular vagus nerve stimulation

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Bioelectronic MedicineJul 2020

Machine learning to assist clinical decision-making during the COVID-19 pandemic

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Journal of Neuroscience MethodsOct 2019

An impedance matching algorithm for common-mode interference removal in vagus nerve recordings

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Bioelectronic MedicineJul 2019

Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity

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Proceedings of the National Academy of SciencesMay 2018

Decoding cytokine specific neural activity from the cervical vagus nerve

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More of the division

Full roster

Philip (Arash) Mirian, MSDS, PT

Health Data Scientist

Alejandro Quintero Villegas, MD

Elmezzi Scholar

Michael Scheid, PhD

Assistant Investigator, Senior Biomedical Engineer