- Fluid Interfaces
Minsol "Michelle" Kim is a Graduate student and a researcher at the MIT Media Lab.
Her research centers on Human–Computer Interaction (HCI) and multimodal AI, focusing on interpretable, agency-aware modeling of human signals from multimodal wearables (e.g., physiological signals, audio, and text). She leverages large language models to transform these signals into actionable, reflective feedback that augments human cognitive capabilities while preserving user agency. Drawing on psychology and cognitive science, she designs interactive human–AI systems for everyday contexts that support self-awareness, mental health, and behavior change. In parallel, she advances computational approaches to interpretable and explainable AI (XAI) for conversational agents, as well as causally aware signal interpretation for consumer wearables. This body of work has been presented at leading venues, including CHI, NeurIPS, AAAI/ACM AIES, IEEE BSN, and others.
Michelle is also actively involved in the AHA (Advancing Humans with AI) Program and is an instructor for MAS.S64 Designing AI for Human Flourishing course this fall 2025. She is also selected to be part of the MIT Media Lab cohort for Bangkok 2025: Building a Better Future for All, where she will be giving a talk in the Media Lab Immersion Session in Tokyo and serve as a mentor in the AI & Robotics Hackathon in Bangkok this December 2025.
Michelle is actively seeking collaborators and motivated students for winter 2026 to contribute to these efforts . Feel free to email Michelle with your resume and a brief statement of interest for collaboration.
For other collaboration inquiries, please contact her at minsol@mit.edu.