Min Jeon, RN

Ph.D. Candidate (Combined M.S. & Ph.D)
Graduate School of Health Science and Technology · UNIST
Co-Advised by
Dooyoung Jung, M.D., Ph.D. ↗ School of Digital Humanities and Computational Social Sciences
KAIST
Minhyuk Lim, M.D., Ph.D. ↗ Graduate School of Health Science and Technology
UNIST

Drawing on my background in nursing and training in engineering, I study how mental health experiences such as anxiety, depression, and distress vary across individuals and over time. I am interested in how these experiences are reflected in subjective reports, behavior, physiology, and everyday life, and in the patterns that emerge across these different sources of information.

I use digital technologies and longitudinal data to better capture these patterns and understand what they may mean for individual care. By bringing together different forms of information, I hope to contribute to healthcare systems that can respond more meaningfully to individual needs. Ultimately, I hope this work can support more precise and human-centered decision-making in healthcare.

Education

2024.03 — Present

Combined M.S. & Ph.D, Health Science and Technology QE Passed 2025.11

Ulsan National Institute of Science and Technology

  • Graduate Student Council (2024–2025)
2019.03 — 2024.02

Bachelor of Science in Nursing

Keimyung University

  • Nursing College Student Council (2020)

Certification & Training

2025

Primary Course for Clinical Research Coordinator

Korea National Enterprise for Clinical Trial

2024

Registered Nurse

Korean Ministry of Health and Welfare

Development and Verification of Digital Therapy Contents for Anxiety through Psychiatry–Art Convergence Research

Research on virtual reality–based approaches to anxiety, spanning clinical acceptance, intervention development, and physiological, cognitive, and behavioral responses during repeated virtual reality sessions.

FocusVirtual Reality · Anxiety · Psychophysiology
Supported by National Research Foundation of Korea
Lifelong and Voice-Informed Forecast and Evaluation of Mood Disorder Based on Longitudinal Observation of Community and Clinical Group

A 24-week longitudinal study using repeated clinical assessments and smartphone-based lifelog data to investigate changes in mood and mental health over time.

FocusLongitudinal Study · Smartphone Lifelog · Mood Disorders
Supported by Seoul National University Hospital (Donated Grant)
Development of a Patient Education Chatbot for Informed Consent in AI-Assisted Mammography

Development and evaluation of a conversational patient education system designed to support patients’ understanding of AI-assisted mammography, including the role and limitations of artificial intelligence and informed decision-making.

FocusConversational AI · Patient Education · Randomized Controlled Trial
Supported by Brain to Society Research Program · Glocal University 30
Development of a Real-Time Mental Health Monitoring Platform Based on Digital Phenotypes

A longitudinal digital mental health project using smartphone and wearable data to investigate behavioral signals associated with mental health and their potential use in ongoing monitoring.

FocusDigital Phenotyping · Wearable Data · Longitudinal Study
Supported by Korea Health Industry Development Institute
Generative AI and the Future of Psychiatric Care

Research examining how psychiatrists encounter and interpret generative artificial intelligence in clinical practice, with a focus on its appropriate roles, limitations, safety, governance, and implementation priorities in mental health care.

FocusGenerative AI · Qualitative Research · AI Governance
Supported by Future Preparedness Committee of the Korean Neuropsychiatric Association
2026
Mapping Practice-Based Signals of Generative AI in Psychiatric Care: Qualitative Study of Korean Psychiatrists' Experiences, Interpretations, and Implementation
Kim M, An Y, Jeon M, Lee Y, Lahcine OF, Kim H, Lee S, Lee S, Yang JC, et al.
Journal of Medical Internet Research
Virtual Reality Exposure Therapy with Graded Interviewer Reactions for Public Speaking Anxiety in University Students: A Randomized Controlled Trial Protocol
Kim M, Jeon M, Lee Y, Lee Y, Yu S, Lee S, Kim H, Cho CH, Cho CY, et al.
Trials
2025
Why Only in the Lab? Understanding Counselors' Technology Acceptance Intentions on Virtual Reality Exposure Therapy: A Mixed Methods Study
Jeon M, Kim M, Lee Y, Lee S, Kim H, Jung D
CHI Conference on Human Factors in Computing Systems — Extended Abstracts
Exploring Predictors of Counselors' Acceptance of Virtual Reality Exposure Therapy With Resistance and Job Contexts as Moderators: Cross-Sectional Mixed Methods Study
Kim M, Jeon M, Lee Y, Lee S, Kim H, Jung D
Journal of Medical Internet Research
2024
Digital Interventions for Mental Health: Challenges and Opportunities
Kim M, Lee S, Jeong IJ, Jeon M, Jung D
Journal of the Korean Medical Association
Research Approaches
Randomized Controlled Trials · Longitudinal Studies · Mixed-Methods Research · Qualitative Research
Measurement & Data Collection
Clinical Assessment · Questionnaires · Ecological Momentary Assessment · Smartphone Passive Sensing · Wearable Sensing · Physiological Recording

Let's connect

I welcome correspondence from researchers, clinicians, and engineers working at the intersection of digital technology and mental health.

LinkedIn min-jeon-rn →
Location Daejeon, Republic of Korea

A Footnote, Since You Made It This Far

Outside the lab, my time tends to drift between philosophy, fiction, and two four-stringed instruments: a ukulele and a bass ukulele (yes, bass ukuleles do exist). Film and animation are where I often go looking for good stories. On my shelves, Foucault sits next to Chiikawa. They may seem like an unlikely pair, but both, in their own ways, have something to say about how one gets through a difficult world (one just does so with considerably smaller and rounder characters).

Classical music, jazz, and tango are the sounds I return to most often, especially while working through analyses that were supposed to be “final” several versions ago (a term I continue to use despite repeated evidence against it). I tend to be drawn to things that are gentle, strange, and more complicated than they first appear. Mostly, I am trying to notice more, read widely, and leave enough room for curiosity.

Note. I have a soft spot for footnotes, notes in the margins, and parenthetical asides. They often reveal not only what a text says, but also what it is doing (this page may already have demonstrated that).