معرفی
Subigya Nepal is an experimental computer scientist serving as Assistant Professor at the University of Virginia's Computer Science Department (effective Fall 2025). Prior to this role, he completed a Postdoctoral Fellowship at Stanford University's Human-Centered AI Institute (2024-2025) following his PhD in Computer Science from Dartmouth College (2024).
- Stanford HAI Postdoctoral Fellowship recipient
- Developer of StudentLife app for behavioral telemetry
- Principal investigator of College Experience Study Dataset
His research at the intersection of Human-Centered AI, Digital Health, and Behavioral Sensing creates groundbreaking frameworks for:
- Real-time mental health detection via smartphone telemetry
- Personalized AI interventions for depression and stress
- Longitudinal behavioral analysis during global crises
- Integration of Large Language Models with sensor data
Key article trends reveal expertise in:
- Context-aware mobile health systems
- Smartphone-based depression diagnostics
- Speech and image analysis for mental health
- Academic stress monitoring
- Workforce burnout prevention
- Behavioral biomarker discovery
Scientific contributions include:
- Stanford HAI Postdoctoral Fellowship
- Release of largest mobile sensing dataset for mental health research
- Breakthrough work in smartphone image analysis for depression detection
- Development of 5-year longitudinal behavioral sensing infrastructure
As lab director at UVA, he focuses on:
- Training PhD students in human-centered computing
- Building AI systems for real-world mental health support
- Creating adaptive intervention frameworks for diverse populations
- Establishing international collaborations with clinical experts
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