NORTHWESTERN INSTITUTEON COMPLEX SYSTEMS

Shambhobi Bhattacharya is a Ph.D. student in the Department of Industrial Engineering and Management Sciences at the McCormick School of Engineering. Her research examines how users coordinate together online and collectively make decisions. She is particularly interested in understanding how users coordinate and moderate on the platform Reddit. Her research interests lie in the intersection of organizational theory, collective intelligence, and social networks, with a particular focus on using computational methods to try to understand and solve these systems.

Yessica’s research explores the art world as a complex system. Her research is rooted in the use of network science and data-driven methodologies to understand the network effects on gender inequalities and career success in visual arts and classical performing arts, such as ballet. She is also interested on the psychological factors influencing human performance and creativity.

Dawoon Jeong is a Postdoctoral Fellow at the Kellogg School of Management. His research interests include scientific, technological, and economic innovation and computational social science approaches to innovation analysis. His work with Professor Hyejin Youn focuses on assembly mechanisms and complexity in innovation trajectories. He received his B.S. degree in physics from KAIST and his Ph.D. degree in engineering from Seoul National University.

Negar is working on a project that broadly focuses on human-AI collaboration, specifically in the area of deepfake detection by humans. The main project she is working on investigates how people perceive AI-generated images and what factors make these images appear photorealistic, leading to potential errors in detection. This project, supervised by Matt Groh at the Kellogg School of Management, also aims to develop tools and techniques to enhance human ability to distinguish between real and AI-generated images. As AI-generated images become more realistic, her research plays a key role in combating misinformation and preserving trust in visual media.

Qinghua Lee is conducting postdoctoral research with Professor Brian Uzzi. His research focuses on the intersection of computer vision, statistical machine learning, quantitative marketing, and computational social science. As an specialist in analyzing 2D and 3D imagery from satellite radar and airborne lidar sensors, he is currently applying his expertise in image processing to address terrestrial challenges within beauty bias, collective violence, and video streaming networks.”

Oh-Hyun Kwon is a Ph.D. student in Physics at Pohang University of Science and Technology. His research interests include technological innovation, urban geography/structure, and human mobility. His work with Professor Hyejin Youn focuses on how distinctive perceptions predict technological innovation and bring impact differently.

Seoul Lee is a PhD student in Management & Organizations at the Kellogg School of Management at Northwestern University. His research examines how multiple people work together in a coordinated way and how organizations themselves exhibit agentic and mental properties. His research interests include organizational structure, collective intelligence, and social networks, with a particular focus on computational methods. He received a dual bachelor’s degree in business and philosophy from Seoul National University.

Tara Sowrirajan is a Postdoctoral Fellow at the Kellogg School of Management and NICO, working with Professor Brian Uzzi. Tara works on modeling and understanding human behavior with large-scale behavioral datasets using AI, network theory, and machine learning.

Seolmin Yang is a Postdoctoral Fellow at the Kellogg School of Management. His research interests lie in technological innovation, with a biological perspective to explain its evolutionary characteristics. Seolmin's work explores the question by drawing on large-scale academic and patent data such as bibliographic information, citations, and researchers’ collaboration. He focuses on unpacking the factors that contribute to successful innovation.