Juho Kim is an Associate Professor in the School of Computing at KAIST, and directs KIXLAB (the KAIST Interaction Lab). He is also affiliated faculty in the Kim Jaechul Graduate School of AI at KAIST. His research in human-computer interaction focuses on building interactive systems that support interaction at scale: crowdsourcing and human computation, online education and learning at scale, civic engagement and collective action, and interactive data analytics and mining. He creates interactive and collaborative technology that empowers conventionally passive populations—students receiving instruction and citizens influenced by social issues—to be active and self-directed participants who initiate deeper learning and collective action. He often takes an interdisciplinary approach to his research, by connecting computer science with learning sciences and social sciences, and aims to deploy interactive systems to real users.

He earned his Ph.D. from MIT, M.S. from Stanford University, and B.S. from Seoul National University. In 2015-2016, he was a Visiting Assistant Professor and a Brown Fellow at Stanford University. He is a recipient of KAIST’s Songam Distinguished Research Award, Grand Prize for Creative Teaching, and Excellence in Teaching Award, as well as 14 paper awards from ACM CHI, ACM CSCW, ACM Learning at Scale, ACM IUI, ACM DIS, and AAAI HCOMP.

If you're interested in working with me at KAIST, please read this page. Also, in this interview video for HCI Korea, I summarize KIXLAB's representative projects and share my thoughts on research and mentoring. English transcription is available.