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Subigya Nepal

Assistant Professor, Computer Science
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About

I'm an experimental computer scientist who studies mental health through the lens of everyday technology. I collect data from smartphones and wearables to understand how people actually behave in the wild, then build AI systems that can predict mental health challenges and deliver adaptive AI-driven interventions at just the right moment.
I'm interested in understanding mental health better by capturing authentic human behavior through passive sensing, then using AI to provide personalized support when people need it most. My work is highly interdisciplinary—I collaborate with clinicians, psychologists, psychiatrists, social scientists, and neuroscientists to ensure this research translates into real impact in hospitals, schools, and workplaces.
Before UVA, I was a postdoc fellow at Stanford Institute for Human-Centered AI.

Education

Ph.D. in Computer Science, Dartmouth College, 2024

Research Interests

Human-Centered AI
Mental & Digital Health
Behavioral Sensing
Ubiquitous Computing
Social Computing

Selected Publications

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences
ABS
Social Isolation and Serious Mental Illness: The Role of Context-Aware Mobile Interventions
ABS
Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic
ABS
MoodCapture: Depression Detection Using In-the-Wild Smartphone Images
ABS
Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones
ABS

Awards