Reina Mun is a designer and researcher with interests in dynamic sensory interventions, machine learning, and context-aware systems. Her research focuses on investigating ways to embed intelligent buffers in people’s immediate surroundings to mediate affective-cognitive responses through physical and material-based approaches. She is currently a doctoral candidate at Harvard University. Previously, she received an MS from MIT.
Departments
Art + Design
Education
- M.S., Massachusetts Institute of Technology