Honghui Chen Portrait

Honghui Chen (Choras Chan)

Incoming PhD Student in Psychiatry

University of Edinburgh · Supervisor: Dr Alex Kwong

I am an incoming PhD student in Psychiatry at the University of Edinburgh, supervised by Dr Alex Kwong. My research uses machine learning and large language models to advance psychological assessment and digital mental health. After completing my master's training at Central South University (The Second Xiangya Hospital), I gained clinical and research experience with Tsinghua University and the National Center for Mental Disorders. My work includes PsychoGAT and MAGI, with publications in Applied Psychology: Health and Well-Being and Translational Psychiatry.

Research Interests

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AI for Psychology

Applying artificial intelligence and machine learning techniques to psychological research and clinical applications, with focus on LLM-based assessment tools.

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Clinical Psychology

Understanding mental health disorders and developing evidence-based interventions, particularly for depression and self-injurious behaviors.

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Digital Mental Health

Leveraging digital technologies and mobile platforms to deliver accessible mental health interventions, monitoring, and support systems at scale.

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LLMs for Assessment

Exploring large language models for psychological assessment, diagnosis, and personalized interventions through innovative paradigms like PsychoGAT and MAGI.

Technical Skills

Programming & Data Analysis

R, Python, Mplus, Network Analysis, Machine Learning

Machine Learning & AI Development

Machine Learning Models, Training and Fine-Tuning Large Language Models

Education

From 2026

PhD in Psychiatry

University of Edinburgh

Incoming doctoral student
Supervisor: Dr Alex Kwong

2023 - 2026

Master of Education in Psychology

Central South University (The Second Xiangya Hospital)

GPA: 3.73/4.0 | Focus: AI for Psychology, Clinical Psychology, Machine Learning
Second-class Academic Scholarship (2024 & 2025)

2025

SDG Global Summer School

Zhejiang University, Department of Psychology and Behavioral Sciences

Took part in lectures, workshops, and discussions that connected psychology with quantitative methods, focusing on topics in cognition, development, and mental health.
– Attended sessions on embodied AI in developmental studies, exploring how motor development relates to behaviour.
– Gained experience with Bayesian approaches to modelling, with attention to practical use.
– Learned from work on lying, theory of mind, and executive functions, which strengthened my interest in developmental and cognitive psychology.
– Practiced study design in workshops on test theory, neuropsychology, and face perception.

2016 - 2020

Bachelor of Management

Jiangsu University of Science and Technology

Major: Information Management and Information Systems | GPA: 3.06/4.0
Third-class Scholarship (TOP 5%, 2019) | Third Prize, 17th RoboMaster University Series (2018)

Publications

2025

Entropy-based risk network identification in adolescent self-injurious behavior using machine learning and network analysis

Zhang, Z., Chen, H.#, Ye, Y., Chen, H., Guo, H., & Zhou, J.

Translational Psychiatry, 15(1). DOI

Peer-Reviewed
2024

Using machine learning to explore the predictors of life satisfaction trajectories in older adults

Chen, H.#, Zhang, X., & Bian, W.

Applied Psychology: Health and Well-Being (IF=3.6), 16(4), 2190–2203. DOI

Peer-Reviewed
2024

Core items selection and psychometric properties of the adult attention-deficit hyperactivity disorder self-report scale-Chinese short version (ASRS-CSV)

Tang, H., Zhang, Z., Chen, H., et al.

Asian Journal of Psychiatry (IF=4.5), 99, 104136. DOI

Peer-Reviewed
2024

PsychoGAT: A novel psychological measurement paradigm through interactive fiction games with LLM agents

Yang, Q., Wang, Z., Chen, H., et al.

In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 14470–14505). DOI

Peer-Reviewed
2025

From rule-based to context-aware: Developing and validating a LLM-based multi-agent interview framework for psychiatric assessment

Feng, Y., Li, M., Chen, H.#

Nature Mental Health (On submission)

In Preparation
2025

Unveiling the drivers of dependency on murder mystery games among youth: A machine learning approach

Dong, D., Chen, H.#

Addictive Behaviours (Under review)

In Preparation
2025

How does caregiver burden influence health outcomes in caregivers of adolescents with depression? The role of psychological resilience, hope, and perceived social support

Chen, H.#, Zhou, M.

Archives of Psychiatric Nursing (Under review)

In Preparation
2025

Chronic disease multimorbidity and the risk of depressive symptoms among middle-aged and older adults: 10-year follow-up evidence from CHARLS

Chen, H.#, Zhang, Z.

Chinese Journal of Psychiatry (Under review)

In Preparation

Conferences & Presentations

Invited talks and conference presentations

Conference Presentation
2025

Multimorbidity of Chronic Diseases and Risk of Incident Depression in Middle-aged and Older Adults: A Survival Analysis Based on CHARLS Data

Chen, H.

The 26th National Academic Conference of Psychology (Chinese Psychological Society), Jinan, China

October 31 - November 2, 2025

Poster Presentation
Conference Presentation
2025

How Does Family Caregiver Burden Affect Health Outcomes in Depressed Adolescents? The Role of Resilience, Hope, and Perceived Social Support

Chen, H.

The 26th National Academic Conference of Psychology (Chinese Psychological Society), Jinan, China

October 31 - November 2, 2025

Poster Presentation
Conference Presentation
2025

Artificial Intelligence in Psychological Measurement: Current Trends and Future Prospects

Chen, H.

The Annual Conference of the Psychological Assessment Committee, Chinese Psychological Health Association

Oral Presentation
Conference Presentation
2025

Identifying Online Network Signals of Adolescent Self-Harm: Entropy Modeling Based on Machine Learning and Network Analysis

Chen, H.

The Third Scholar Forum on Quantitative Research Methods in Social Sciences

Oral Presentation
Conference Presentation
2024

LLM Agents for Psychology: A Study on Gamified Assessments

Chen, H.

Joint Forum on Psychology and Cognitive Science

Oral Presentation

Awards & Honors

Selected recognitions and distinctions

2024 & 2025

Second-class Academic Scholarship

Central South University

Scholarship
2019

Third-class Scholarship (TOP 5%)

Jiangsu University of Science and Technology

Scholarship
2018

Third Prize - 17th RoboMaster University Series

Central Region Group

Competition

Photography

Capturing moments from academic life and creative explorations

Portraits of Me

Portrait 1

Summer School

Portrait 2

Mountain Adventure

Portrait 3

Golden Hour

Through My Lens

Landscape

Green Pastures

Sunset

Golden Hour

Mountain

Mountain

View Full Gallery →

Experience

Research Experience

Research Assistant

June 2024 - April 2025

Emohaa, CoAI Lab, Tsinghua University

Project: Study of the Drivers of Dependency on Murder Mystery Games Among Youth

Description: To develop a machine learning model to systematically identify the psychological and behavioral risk factors influencing young people's dependence on Murder Mystery Games, with the goal of providing empirical support for related interventions.

  • Built the predictive machine learning model using R, trained it based on multi-dimensional psychological and behavioral data from 5,726 young participants, covering over 30 variables such as family factors, personality traits, and mental health
  • Conducted feature importance analysis to identify key predictors influencing the targeted outcomes
  • Optimized and fine-tuned the machine learning models to improve predictive performance

Project: LLM-based Multi-Agent Interview Framework for Psychiatric Assessment (MAGI)

Description: This project aims to develop an LLM-based interview framework for psychiatric assessment, validating its potential as a low-cost, privacy-friendly solution for psychological screening.

  • Designed the four-phase validation data analysis process, including assessments with simulated and real participants
  • Conducted reliability and validity analyses comparing MAGI assessment results with evaluations by psychological counselors and psychiatrists, utilizing R for data processing and statistical analysis

Research Assistant

December 2023 - July 2024

Psychiatry Department, The Second Xiangya Hospital of Central South University

Project: Entropy-based Risk Network Identification in Adolescent Self-Injurious Behavior Using Machine Learning and Network Analysis

Description: This project aims to develop a multi-factor risk prediction model for adolescent self-injury behavior (SIB) using machine learning, network analysis, and the Entropy Weight Method, integrating psychological, physiological, and social factors.

  • Collected data from fMRI experiments, managed experiment protocols and drafted project proposals
  • Managed and analyzed collected data using Python and R, implemented statistical analyses and interpreted results

Professional Experience

Intern of R&D

July 2025 - Present

Pervasive Human Computer Interaction Laboratory, Tsinghua University

Project: AI-Powered Health Monitoring System via Intelligent Ring and Agent

Description: To develop wellness app for AI ring, integrating key features including AI-powered mental health assessment, guided mindfulness meditation, and personalized breathing exercises to enhance user well-being.

  • Defined product requirements and created interactive prototypes for a wearable-based emotional management agent
  • Designed the system architecture and drafted PRD
  • Planned and conducted user experiments to evaluate system efficacy, leading to validated design improvements

Intern

May 2024 - May 2025

Psychological Counseling Clinic, The Second Xiangya Hospital of Central South University

  • Assisted in administering professional psychological assessments including MMPI, Hamilton Depression Scale, and Wechsler Intelligence Tests
  • Observed clinical consultations to learn interview techniques, psychotropic medication protocols, and standard counseling procedures
  • Supported outpatient operations through patient reception, queue management, and appointment notification

Operations Manager

July 2020 - March 2022

Yuanfudao Online Education

Responsibilities:

  • Engaged in AI-powered programming education and counseling for children, rapidly promoted to class operations team leader within six months
  • Managed class operations, sales revenue, and conversion rates, achieving top-ranking performance nationwide for multiple periods, winning numerous digital student blue cups and other awards
  • Handled complaints and provided psychological counseling and follow-ups for exceptional students, receiving positive feedback from multiple parents

Achievements:

  • Led a team of approximately 12 people, consistently ranking first nationwide for multiple periods (among hundreds of teams nationwide)
  • Managed operations for over 30,000 users with a conversion rate as high as 20%
  • Conducted two pilot operations experiments, contributing experience and sharing operational insights with various company teams

About Me

My journey into psychology was born from personal experience. Growing up, I witnessed several close family members and friends struggle with depression, and tragically, some chose to end their lives. These losses left deep imprints on my understanding of mental health's critical importance. The profound regret of being unable to help drove me to dedicate myself to this field—not just as an academic pursuit, but as a personal mission to prevent others from facing similar tragedies.

The path here has been unconventional. I started in Information Management at Jiangsu University of Science and Technology, where I gained solid technical foundations in data analysis, Python, R, and machine learning. But psychology called to me. I spent my spare time building knowledge through independent study, eventually making the leap to cross-disciplinary graduate entrance exams. After working at Yuanfudao—where I led teams and encountered countless students facing psychological challenges—I finally joined Central South University's Second Xiangya Hospital, one of China's premier psychiatric institutions.

Under Professor Tiger Cai's mentorship, I found my true calling at the intersection of AI and psychology. The emergence of large language models revealed unprecedented possibilities: What if we could use AI to detect psychological crises earlier? What if we could make mental health assessment more accessible and accurate? These questions now drive my research. I'm developing machine learning systems for psychological assessment, collaborating with Tsinghua University teams on AI-powered diagnostic interviews, and exploring how multi-agent simulations might revolutionize our understanding of social psychology.

But life isn't all about research. Beyond the lab and lecture halls, I'm an explorer at heart. 📷 With my camera, I chase light across urban streets and mountain peaks, capturing fleeting moments that reveal the extraordinary in the ordinary—whether it's the golden hour painting Changsha's skyline or the raw emotions on a stranger's face. 🚴‍♂️ On my bike, I've traced countless routes through unfamiliar cities and countryside, finding that the rhythm of pedaling clears my mind and sparks unexpected research insights. 🏔️ And when life permits, I pack my gear and head to the mountains, where the challenge of hiking snow-covered peaks reminds me that the most rewarding journeys require patience, preparation, and a willingness to embrace discomfort. These pursuits aren't separate from my academic work; they're essential to it. Photography has trained my eye to observe subtle patterns and emotions—skills that translate directly into understanding human behavior. The endurance from long rides and mountain treks mirrors the persistence needed in research. The curiosity that drives me to explore new landscapes is the same curiosity that fuels my desire to explore uncharted territories in computational psychology.

I will continue this work as a PhD student in Psychiatry at the University of Edinburgh under the supervision of Dr Alex Kwong, pushing the boundaries of AI-enabled mental health research. I want to create systems that genuinely serve human well-being, not just process data. Whether developing new assessment tools or presenting research findings, I'm driven by the same fundamental curiosity: What makes us human, and how can we use our knowledge to help each other thrive?

If you share these interests or are exploring questions at the intersection of AI, psychology, and human flourishing, I'd be honored to connect. Let's explore together what's possible when we combine rigorous science with genuine care for human welfare.

Get in Touch

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Location

Changsha, Hunan, China