Sang Won Lee

Sang Won Lee is an Associate Professor of Computer Science at Virginia Tech and a Visiting Researcher at NAVER AI Lab. His work focuses on Human-Computer Interaction (HCI), computer-mediated empathy, and creative computing. He explores technologies like VR, conversational agents, and live coding to foster empathy, support self-reflection, and enable inclusive collaboration. His research has been recognized with best paper awards at ACM CHI and Creativity & Cognition.

He holds a Ph.D. in Computer Science from the University of Michigan, alongside degrees in Music Technology (Georgia Tech), Management Science (Stanford), and Industrial Engineering (Seoul National University). His teaching spans courses like Creative Computing Studio, Computer-Supported Cooperative Work, and Game Design.

Research interests include:

• Empathy through interactive systems
• Music technology and live coding performances
• Collaborative tools for education and work
• VR/AR applications in learning

Notable awards include the 2016 International Computer Music Association Award for his composition Live Writing: Gloomy Streets. Recent work explores AI ethics in education, voice agents in parent-child interactions, and cross-device mixed reality experiences.

Active in both academic conferences (CHI, NIME) and artistic venues (ICMC performances), he bridges technical innovation with creative expression. His lab develops tools like TaskScape for holistic task management and Octave for spatiotemporal data analysis in construction education.