Poong Oh is an Assistant Professor at the Wee Kim Wee School of Communication and Information, Nanyang Technological University. He received his Ph.D. in Communication from the Annenberg School for Communication and Journalism at the University of Southern California. Before joining NTU in 2017, he was a postdoctoral research fellow at the Annenberg School for Communication, University of Pennsylvania.

His research examines the collective dynamics of information processing, decision-making, opinion formation, and conflict resolution within groups, organizations, and communities, with a particular focus on the central role of communication in these processes. A key contribution of his work is the integration of traditional communication and social science theories with network theory and evolutionary game theory, offering a novel framework for understanding communication as a complex, dynamic, and self-organizing system.

As a computational social scientist, he refines and applies innovative methodologies—including agent-based modeling, computational network analysis, numerical experiments, and machine learning—to communication research. His work demonstrates the theoretical utility of communication-centered integrative frameworks in explaining and predicting social dynamics with greater precision and accuracy.

His research has been published in leading communication and social science journals, such as Communication Theory, Communication Methods and Measures, and the International Journal of Communication. He has also contributed to prestigious interdisciplinary journals, such as Scientific Reports, and prominent journals in other disciplines, including Journal of Physics: Complexity, Transport Policy, and Ecology and Evolution.

His current projects focus on the strategic dimensions of communication in complex social systems. One line of research investigates deception strategies in online environments, aiming to develop preemptive measures against the spread of misinformation and falsehoods. Another explores the self-organizing mechanisms of group structures to optimize collective decision-making processes, shedding light on how communication networks evolve to enhance adaptability and efficiency. Through these projects, he seeks to deepen theoretical insights while offering practical implications for digital governance, policy interventions, and the design of resilient information ecosystems.