People
Faculty
Jeon June
June Jeon is an assistant professor of sociology at KAIST. He is a qualitative ethnographer and theorist, specialized in sociology science, technology, and environment. His recent research interests include computational large-scale qualitative analysis on varieties of inequalities in scientific knowledge production. June received Ph.D. in sociology at the University of Wisconsin-Madison and has published in Social Studies of Science, New Media & Society, Agriculture & Human Values, among other journals.
Byungkoo Kim
Byungkoo Kim is an assistant professor in Data Science at the KDI School of Public Policy and Management. He earned his Ph.D. in Political Science and an M.A. in Statistics from the University of Michigan. His research expertise lies at the confluence of international political economy and quantitative methods. He is particularly interested in studying how global supply chains shape new dynamics in global trade and investment governance; economic policies and political institutions; and economic security. His research also focuses on developing statistical models for networks and text data. In this line of research, he has ongoing projects that analyze citation networks and opinion texts of U.S. Appeals Courts and Supreme Courts.
Lanu Kim
Lanu Kim is an assistant professor in the school of humanities and social sciences and a joint professor in the school of computing at KAIST. After finishing her sociology PhD at the University of Washington, she was a postdoctoral fellow and data science scholar at Stanford University. Her research broadly contributes to the theoretical understanding of academic knowledge creation by mainly examining the impact of academic search engines, gender inequality in higher education, and the social structure of knowledge construction. To investigate, she utilizes new big data sources, innovative analytical strategies, natural language processing, and advanced statistical methods and works with interdisciplinary research teams.Speakers
Jinhyuk Yun
Jinhyuk Yun is an assistant professor in the School of AI Convergence, at Soongsil University. He received his B.S. and Ph.D. degrees in Physics from KAIST. During his Ph.D., he developed a strong interest in the structure and dynamics of complex systems such as society, culture, media, and collective knowledge, along with the big data and statistical physics models, which led him to join Naver as a Data Scientist. He then worked as a Senior Research Scientist at KISTI, where he researched big data analysis and AI technology development. Since 2020, he has been a Professor at the School of AI Convergence at Soongsil University, where he is currently working on complex systems theory, big data, and AI to understand in-depth human behavior.
Won-tak Joo
Won-tak Joo is an assistant professor in Sociology and Criminology & Law at the University of Florida. His research interests are in the areas of social demography, social networks, and computational sociology. Specifically, he investigates how social and family relationships change across the life course, and how these patterns contribute to social and health inequalities, using a range of quantitative approaches including social network methods, applied econometrics, and demographic techniques.
Bas Hofstra
Bas Hofstra is a tenured Assistant Professor at Radboud University's Department of Sociology. He got his PhD from Utrecht University s Department of Sociology and was Postdoctoral Research Fellow at Stanford University. His work orbits the study of diversity, stratification, and innovation. It captures longitudinal systems of social and cultural exchange: from the gestation and birth of networks, careers, ideas, or innovations, to their use, up until their eventual cessation. As such, he strives for three interrelated goals: (i) answering substantive questions on causes and effects of social networks, while (ii) contributing to social theory, and (iii) using computational methods and big data. His research appeared (among others) in PNAS, American Sociological Review, Social Forces, Social Networks, and Nature Human Behaviour, and was honored with several grants and awards.
Hwaran Lee
Hwaran Lee is a lead research scientist at NAVER AI Lab, working on natural language processing and machine learning. She received her Ph.D. in Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST) in 2018 and her B.S. in Mathematical Science at KAIST in 2012. Before joining NAVER AI Lab, she worked at SK T-Brain as a research scientist from 2018 to 2021. Her current primary research interests are ethics, safety, and trustworthiness of language models. Also, she is interested in controllable language generation, dialog systems, and machine learning for language models.
Jonghee Park
Jonghee Park is a Professor in the Department of Political Science and International Relations at Seoul National University. He is also the Director of Global Data Center at Institute of International Studies, Seoul National University. He received his Ph.D. from Washington University in St. Louis. Jonghee Park studies political methodology and international political economy. He also maintains R packages MCMCpack and Bayesian taskview in CRAN. He is recently working on dynamic network analysis, text analysis of North Korean document, and changepoint analysis of Bayesian shrinkage models.
Hyunwoo Park
Hyunwoo Park is Vice Dean for Academic Affairs and Associate Professor in the Graduate School of Data Science at Seoul National University. Before joining SNU, he was an Assistant Professor in Management Sciences at the Fisher College of Business and a Core Faculty for the Translational Data Analytics Institute (TDAI) at The Ohio State University. Before OSU, he was a postdoctoral fellow at the Tennenbaum Institute at Georgia Tech. He holds a Ph.D. in Industrial Engineering from Georgia Tech, a Master of Information Management and Systems from UC Berkeley, and a B.S. in Electrical Engineering from Seoul National University. His research interests include business and data analytics with an emphasis on visualization, supply chain management from the network perspective, and technology and innovation management in the presence of digital platforms. His research has been published in leading journals, and he has won several awards and nominations from major conferences, including INFORMS and the Academy of Management.
Jihee Kim
Jihee Kim is an associate professor at the School of Business and Technology Management, KAIST College of Business, and also holds a joint appointment with the School of Computing at KAIST. She is an economist, yet her academic and research endeavors have embraced interdisciplinary scholarship. Jihee earned a B.S. in Computer Science at KAIST, then pursued her master’s degree in Economics at Stanford University, followed by her PhD in Management Science and Engineering, also at Stanford University. Her academic journey reflects a commitment to interdisciplinary exploration, as evidenced by her collaborative efforts across various disciplines, such as computer science and energy policy, while maintaining a strong foundation in economics.