معرفی
Dr. Da-eun Ellen Lee is a Research Fellow at Yale University's School of Medicine, specifically within the Child Study Center, collaborating with Dr. Christine Cha. She holds a Ph.D. in Applied Artificial Intelligence from Sungkyunkwan University (2024) and a B.A. in Social Psychology from Sookmyung Women's University (2017). Her research focuses on Affective Computing, leveraging Natural Language Processing (NLP) and Multi-Modal Learning to develop AI-driven healthcare solutions for mental health challenges such as suicide prevention and mood disorder diagnosis.
Education
- Ph.D. in Applied Artificial Intelligence, Sungkyunkwan University (2024)
- B.A. in Social Psychology, Sookmyung Women's University (2017)
Research Interests
Dr. Lee specializes in interdisciplinary AI applications for mental health, including:
- Deep learning models for suicide prevention
- Mood-aware NLP for bipolar disorder diagnosis
- Audiovisual feature analysis for depression detection
- Crisis communication via AI (e.g., fake news detection during pandemics)
Key Research Trends
Her work bridges computational methods with clinical psychology, emphasizing:
- Multi-modal fusion of text/audio/video data
- Temporal symptom tracking for mental health
- AI ethics in healthcare decision-making
Labs & Affiliations
She is part of the Cha Lab, focusing on translational AI research for child mental health. Her contributions include:
- Developing mood-aware multi-task learning frameworks
- Validating AI models in real-world clinical settings
