Zhi-De Deng, PhD
Engineer | Physicist | Neuromodulation Scientist
Full-Time Awesome Person
Contact meDr. Deng is a neuroengineer who develops computational models and technologies to make brain stimulation more precise and personalized. He directed the Computational Neurostimulation Research Program at the National Institute of Mental Health, working at the intersection of electrical engineering, computational modeling, and psychiatric neuromodulation.
His work asks what a stimulation device actually does to the brain, and how to make it do the right thing for each patient. His electric field modeling established the fundamental depth–focality tradeoff in transcranial magnetic stimulation and has shaped how researchers, clinicians, and regulators evaluate stimulation devices. In seizure therapy, he has shown that patient-specific electric field modeling can identify the dose underlying both antidepressant response and cognitive side effects; his 2024 JAMA Psychiatry randomized clinical trial compared magnetic seizure therapy with electroconvulsive therapy. He holds multiple patents and has authored more than 100 peer-reviewed publications.
Dr. Deng holds degrees in Physics (SB) and Electrical Engineering & Computer Science (SB, MEng) from MIT and a PhD in Electrical Engineering from Columbia University, and completed postdoctoral training at Duke University and a research fellowship at NIMH. He is a Senior Member of the IEEE and has received two NIMH Director's Awards for scientific innovation.
Computational Modeling & Methods
Preclinical
Device Engineering
Computational Modeling & Methods
Cognitive & Clinical Applications
Computational Modeling & Methods
Neuroimaging & Biomarkers
Neuroimaging & Biomarkers
Neuroimaging & Biomarkers
Data Standard
Perspective
Biophysics
Perspective
Device, Dosing & Clinical Outcomes
Cognitive & Clinical Applications
Biophysics
Targeting, Dosimetry & Technique
Cognitive & Clinical Applications
Targeting, Dosimetry & Technique
Device, Dosing & Clinical Outcomes
Computational Modeling & Methods
Computational Modeling & Methods
Device, Dosing & Clinical Outcomes
Computational Modeling & Methods
Cognitive & Clinical Applications
Device, Dosing & Clinical Outcomes
Targeting, Dosimetry & Technique
Computational Modeling & Methods
Neuroimaging & Biomarkers
Computational Modeling & Methods
Cognitive & Clinical Applications
Cognitive & Clinical Applications
Targeting, Dosimetry & Technique
Device, Dosing & Clinical Outcomes
Device, Dosing & Clinical Outcomes
Device, Dosing & Clinical Outcomes
Targeting, Dosimetry & Technique
Neuroimaging & Biomarkers
Cognitive & Clinical Applications
Clinical Psychiatry
Assessing ultra-low-field MRI-derived head models for electric field simulation in TMS, ECT, and tDCS: Within-subject agreement with 3T
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Individualized head modeling and electric field simulation in tDCS, ECT, and TMS: Current and emerging approaches
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Computational neuroengineering for precision neuromodulation: Dose, device, and treatment optimization
Advancing ECT through computational modeling, dose optimization, and device innovation
Next-generation seizure therapy: Balancing efficacy and cognition with optimized waveforms and personalized targeting
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From physics to practice: Understanding E-field modeling in clinical TMS
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ECT time machine: What yesterday's devices teach about tomorrow's therapy
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Reading tells: Using facial expression analysis to track emotional states in depression
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