- Fluid Interfaces
Minsol "Michelle" Kim is a Master's student and researcher at the MIT Media Lab.
Her work lies at the intersection of Human-Computer Interaction (HCI), affective computing, and explainable AI, drawing from cognitive psychology, affective science, and the philosophy of mind. She focuses on developing multimodal interactive systems and computational approaches for human-AI interaction that support mental health, emotion regulation, and behavioral change.
Her past research spans wearable devices, Brain-Computer Interfaces (BCIs), and HealthML, and she has presented at major conferences including CHI and IEEE BSN.
Michelle graduated Magna Cum Laude from Wellesley College with a Bachelor's degree in Computer Science and Mathematics. As a certified GEL2 in the MIT Gordon Engineering Leadership Program, she has coached and led students from MIT and Wellesley, working with industry mentors to cultivate engineering leadership.
Her current research draws from AI and cognitive science, with ongoing projects in:
- Exploring the Effects of Wearable Haptic Feedback on Interoceptive Awareness and Emotion Regulation
- LLM Reasoning for Conflict-Aware Multimodal Emotion Recognition
- Developing AI Feedback System and Journaling Interfaces for Cognitive Reappraisal and Emotion Regulation
- Clinical AI Agents : Towards Interpreting Multimodal ECG and ECHO Data with Vision-Language Models
Michelle is actively seeking collaborators and motivated UROP students for summer & fall 2025 to contribute to these efforts. Feel free to email Michelle with resume and brief statement of interest for collaboration.
For other collaboration inquiries, please contact her at minsol@mit.edu.