Skip to Main Content

Dongju Seo, PhD

Associate Professor of Psychiatry
DownloadHi-Res Photo

Additional Titles

Director, Laboratory for Healthy Minds

Director of Digital Health and AI, Yale Stress Center

About

Titles

Associate Professor of Psychiatry

Director, Laboratory for Healthy Minds; Director of Digital Health and AI, Yale Stress Center

Biography

Dongju Seo, PhD, is an Associate Professor of Psychiatry at the Yale School of Medicine, Director of Digital Health and AI at the Yale Stress Center, and Director of the Laboratory for Healthy Minds. As a brain scientist and a licensed clinical psychologist, Dr. Seo's research bridges applied AI, digital health, neuroscience, and mental health intervention.

Her research aims to make mental health care scalable, personalized, and accessible by developing AI-driven tools across the continuum of care—from early detection of stress-related health risks to digital interventions delivered via smartphones, wearables, and telehealth.

As Director of Digital Health and AI at the Yale Stress Center, she develops AI models to build personalized risk signatures for stress-related chronic diseases. This work integrates continuous real-world data—from smartwatches, sweat-based biosensors, and smartphones—with lab-based stress measures and clinical records, leveraging multimodal LLMs.

Dr. Seo is the original developer of Emotion Regulation via Breathing for Alcohol Misuse (EBA), a novel breathing-based digital intervention for stress and addiction-related disorders. She also serves as the contact PI for NIH-funded research evaluating this method to address stress, chronic pain, and opioid misuse.

Her approach is grounded in more than 20 years of neuroscience research on stress, reward learning, and addiction, utilizing multimodal neuroimaging (fMRI combined with ECG, hormonal, and metabolic measures) alongside machine learning methods such as connectome-based predictive modeling. She collaborates closely with colleagues in psychiatry, radiology, and computer science and mentors interdisciplinary trainees working at the intersection of digital mental health and AI.

Dr. Seo received her PhD in Clinical Psychology from the University of Minnesota, Twin Cities, in 2008 and completed postdoctoral training in psychiatry at the Yale School of Medicine.

Last Updated on October 26, 2026.

Appointments

Education & Training

Postdoctoral Training
Psychiatry, Yale University School of Medicine (2011)
PhD
University of Minnesota Twin Cities (2008)

Research

Overview

Dr. Seo's research aims to improve public mental health by investigating the neurobiological mechanisms underlying stress and addiction, translating these insights into clinical science and effective intervention development through advanced approaches including AI.

Laboratory for Healthy Minds (LHM)
https://medicine.yale.edu/lab/lhm/

The Laboratory for Healthy Minds (Director: Dongju Seo, PhD) is a translational research laboratory at the intersection of applied AI, digital health, and the neuroscience of stress and addiction. We develop and validate AI-driven tools that span early risk detection to scalable digital intervention.
Current research areas include:

1) AI-Based Early Risk Detection
This research focuses on developing multimodal AI models that integrate wearable, smartphone, physiological, and clinical data for the early detection of stress-related risks and timely clinical intervention.

2) Digital Interventions
Designed to optimize digital mental health delivery, this initiative systematically assesses the therapeutic efficacy of breathing and emotion-regulation interventions for stress and addiction-related disorders. Delivered via integrated smartphone, wearable, and telehealth frameworks, the interventions incorporate selective AI-assisted elements to enhance personalized care and treatment engagement.

3) Brain-Body Biomarkers of Stress
The LHM utilizes multimodal neuroimaging—integrating fMRI with ECG, HPA-axis hormonal profiles, and metabolic biomarkers—to identify mechanisms and predictive markers of stress-related pathology, relapse vulnerability, and treatment response.

4) Brain-Body Biomarkers of Stress
Our research investigates the neural mechanisms underlying reward processing and reinforcement learning in humans, providing a biologically grounded framework for understanding adaptive behavior.

Research Interests
Digital Health; Artificial Intelligence; Smartphone Applications; Wearable Technologies; Stress; Substance Use Disorder; Breathing Exercises; Reinforcement Learning; Machine Learning; Neuroimaging

Get In Touch

Contacts