Ya-Wen (Yama) Chang
PhD Student in Quantitative Biomedical Science
Center for Technology and Behavioral Health, Dartmouth College
Latest News
2025-12Presented a symposium talk about AI and mental health at TIPS 2025Watch →
2025-06Officially matched and joined the AIM HIGH lab!
2025-02Published my first-authored manuscript about single-session interventions and structural stigma on SSM-Mental Health!Read more →
2024-09Published a co-first-authored paper on structural stigma and suicide among LGBTQ+ youth in Stigma and Health!Read more →
Publications
Research Projects
Years of Research
Disciplines
About
Yama Chang (she/her) is a PhD student in the Quantitative Biomedical Sciences (QBS) program at Dartmouth College, mentored by Dr. Nicholas Jacobson in the Artificial Intelligence and Mental Health: Innovation in Technology Guided Healthcare (AIM HIGH) Lab at the Center for Technology and Behavioral Health.
Her research focuses on leveraging passive sensing, wearable devices, large language models (LLMs), and just-in-time adaptive interventions (JITAIs) to deliver scalable, personalized support for mental wellness. As part of the Evergreen AI initiative at Dartmouth, Yama is conducting research on the design and evaluation of a real-time, campus-wide intervention system that integrates multimodal data streams with LLM-based decision engines to deliver safe and adaptive support for undergraduate students. More broadly, she is interested in optimizing the timing of digital interventions and advancing clinical safety in AI-driven mental health systems.
Research Interests
Education
PhD in Quantitative Biomedical Science
Dartmouth College
MA in Clinical Psychology
Columbia University
BA in Economics
National Taiwan University
Research Journey
Pre-PhD Foundations
First Research at Columbia University
Began studying transgender identity development and minority stress experiences.
Suicide Prevention Research at University of Pittsburgh
Studied computational approaches to suicide risk prediction and digital single-session interventions.
Digital Interventions & LGBTQ+ Health Research
Investigated structural stigma, digital mental health interventions, and health disparities among LGBTQ+ populations.
“I realized we need to make mental health interventions more scalable, personalized, and accessible.”
PhD & Beyond
Dartmouth College — PhD in Quantitative Biomedical Science
Trained at the intersection of computational methods and clinical science, bridging data-driven approaches with real-world mental health applications.
AI and Mental Health Lab at the Center for Technology and Behavioral Health
Integrating passive sensing, wearable devices, and AI to develop just-in-time adaptive interventions (JITAIs) that deliver personalized, scalable support for mental health.
Evergreen AI Campus Intervention System
Began designing a real-time, campus-wide intervention system integrating multimodal data with LLM-based decision engines.