Theodoros Zanos

Theodoros Zanos is a Research Associate Professor at Stony Brook University's Department of Computer Science, affiliated with the Feinstein Institutes for Medical Research and the Institute of Bioelectronic Medicine. He leads the Neural & Data Science Lab, focusing on developing algorithms to decode neural signals for disease diagnosis and bioelectronic therapies.

• Affiliations: Feinstein Institutes for Medical Research, Institute of Health System Science, Northwell Health
• Education: BEng in Computer Engineering from Aristotle University of Thessaloniki

His research integrates neural data analysis, machine learning, and clinical data to address metabolic and immune system disorders. Key projects include decoding vagus nerve signals for inflammation and glucose regulation, and applying AI to EHR data for pandemic response.

Publications emphasize neural signal decoding, bioelectronic medicine, and clinical decision support systems. Notable achievements include the 2018 Excellence in Research Award for PNAS work on cytokine-specific neural signals.

Advises a multidisciplinary team of PhD students and engineers. Collaborations span Northwell Health for large-scale EHR analysis and Feinstein Institutes for translational research. Lab projects include noninvasive bioelectronic analytics and closed-loop neural stimulation systems.

Labs/Teams: Neural & Data Science Lab, collaborating with Feinstein Institutes, Northwell Health, and international partners.