Zhi-De Deng, PhD

Engineer | Physicist | Neuromodulation Scientist

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About Zhi

Dr. 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.

Papers

IEEE Engineering in Medicine and Biology Society Conference

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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OHBM Annual Meeting

Individualized head modeling and electric field simulation in tDCS, ECT, and TMS: Current and emerging approaches

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UC San Diego, Interventional Psychiatry Program

Computational neuroengineering for precision neuromodulation: Dose, device, and treatment optimization

International Society for ECT and Neurostimulation Webinar

Advancing ECT through computational modeling, dose optimization, and device innovation

International College of Neuropsychopharmacology Congress

Next-generation seizure therapy: Balancing efficacy and cognition with optimized waveforms and personalized targeting

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Clinical TMS Society Annual Meeting

From physics to practice: Understanding E-field modeling in clinical TMS

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Electroconvulsive Therapy Conference & GEMRIC Workshop

ECT time machine: What yesterday's devices teach about tomorrow's therapy

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NIMH Intramural Research Program Investigator Seminar

Reading tells: Using facial expression analysis to track emotional states in depression

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Awards

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