People
Faculty
Francisco Olivos
Francisco earned his Ph.D. in Sociology from The Chinese University of Hong Kong. He also holds a Master’s degree in Sociology and Social Research from Utrecht University, as well as a Master’s and Bachelor’s degree in Sociology from the Pontifical Catholic University of Chile. Since joining Lingnan University in August 2021, Francisco has focused his research on the intersections of cultural sociology, social stratification, and subjective well-being, employing quantitative and computational methods to advance these fields.
Frankie Ho Chun Wong
Frankie Ho Chun Wong studies the intersection between digital media, health, and society. Frankie obtained his Ph.D. from Philip Merrill College of Journalism, University of Maryland, College Park. Prior to that, he worked at The University of Hong Kong on ageing and mental health research. Frankie employs machine learning, natural language processing, and mixed methods techniques, looking for nuances in the sea of data. His work examines how social and policy issues were shaped by new media and technology in the digital age, as well as the influence of social and demographic factors on media use and health outcomes.
Tobias Kamelski
Tobias obtained his Master of Arts (Socio-cultural Studies) from the Faculty of Social and Cultural Sciences at European University Viadrina Frankfurt (Oder), Germany. Before that, he studied at the Rhine-Waal University of Applied Sciences and the Catholic University of Korea. He is currently a Ph.D. candidate in Sociology at Lingnan University. In his research project, he investigates the anticipation of attraction, self-presentation, and impression management utilizing computational image analysis.
Pablo Beytia
He holds a Ph.D. from the Humboldt University of Berlin and is the director of Monitor Social (www.monitorsocial.cl), a company dedicated to creating systems that report real-time social indicators. His research focuses on how digital platforms frame information about humans, creating content inequalities that favor specific social groups. Pablo’s research interests include digital discourse, open knowledge, platform power, digital social memory, and artificial intelligence for social data reporting.
Pedro Seguel
Pedro Seguel's research focuses on understanding the evolution of technology and the changing landscape of IT job skills. He uses a combination of computational social sciences and traditional qualitative methods to study the factors behind digital innovation, the IT workforce, and developer communities. With an interdisciplinary background, he holds a Ph.D. (c) in Management of Information Systems from McGill University, an M.Sc. in Information Studies from the University of Texas at Austin, and an M.Sc. and B.Sc. in Sociology from the Pontifical Catholic University of Chile.Speakers
Eun Kyong Shin
Eun Kyong SHIN is Sociology Department Chair at Korea University. As a social scientist with a PhD in Sociology (2015, Columbia University), and who additionally trained as a postdoc at Columbia Law School and the UT Medical School, her investigations weave through multiple disciplines. Bringing unconventional data sources to various sociological investigations, the overarching goal is to gain better understanding of how relational networks and social conditions influence social behaviors, health outcomes and human development. Methodologically, she uses multiple analytical tools, including social network analysis, statistics, GIS, and machine learning.
Siqi Han
Siqi Han is an assistant professor of sociology at the Chinese University of Hong Kong. She is also associated with CUHK’s computational social science cluster. Before joining CUHK she was a postdoctoral research scholar on the Measuring the Liberal Arts project at INCITE, Columbia University. She received her PhD in Sociology from The Ohio State University. Her work mainly focuses on knowledge structure in higher education, school-to-work transition, and labor market skill returns. She addresses her research questions using both surveys and unstructured textual data with computationally intensive quantitative methods, including chatGPT-assisted data collection and processing. These projects appeared in PNAS, Journal of Marriage and Family, Social Science Research, European Sociological Review, Sociological Perspectives, Demographic Research, Socius, and other academic journals.
Yiting Chen
Yiting Chen joined Lingnan University as an assistant professor in economics since August 2023. Prior to that, she worked in Xiamen University as an assistant professor in economics. She received her Ph.D. in economics from the National University of Singapore on May 2022. Her research interests are behavioral and experimental economics, with a focus on decision-making under uncertainty, moral behavior, and their interaction with artificial intelligence. She has recently published “The Emergence of Economic Rationality of GPT” in Proceedings of the National Academy of Sciences.
Alex Preda
Alex Preda holds a PhD in sociology from the University of Bielefeld and a Dr. habil. from the University of Konstanz, Germany. Before joining Lingnan University, he has held positions at the Universities of Konstanz, Edinburgh, King’s College London, and visiting positions at the University of Chicago. He works at the intersection of economic sociology and the sociology of science and technology. His current research projects focus on the blockchain economy and on digital art markets, respectively.
Gleb Papyshev
Gleb Papyshev is a Research Assistant Professor in the Division of Social Science. His research interests include AI policy and regulation, AI ethics, and corporate governance mechanisms for emerging technologies. The results of his work have been published in Policy Design and Practice, AI & Society, Data & Policy, and Elgar Companion to Regulating AI and Big Data in Emergent Economies. # add speaker bio hereTeaching Assistants
Juliana Qi Xuan Yuncg
Juliana Qi Xuan Yuncg is a Ph.D. Candidate in Sociology and Social Policy at Lingnan University, Hong Kong. She obtained her Master of Arts in Survey Research from the University of Connecticut, USA, and a Master of Arts in Integrated Marketing Communications from California State University, USA. Juliana’s research focuses on integrated senior care solutions versus aging-in-place strategies, addressing the housing challenges faced by senior residents in Macau. Utilizing social listening—an AI-powered content analysis method—and in-depth interviews, her work investigates government resource allocation, the motivations behind seniors’ relocation decisions, and barriers to transitioning into public senior housing. This interdisciplinary approach integrates computational social science with qualitative insights, with a strong emphasis on policy application.
