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Researchers in Residence

Kartik Bajpai

PhD Student, Management & Organizations
Kellogg School of Management

Kartikeya Bajpai is a doctoral candidate in the Management and Organizations program at the Kellogg School of Management, working with Professor Brian Uzzi. His research interests focus on the embedding of experts and professionals within organizations. In his empirical work he has examined a variety of expert roles and organizations, including, hedge fund portfolio managers and traders, hospital physicians and nurses, digital privacy officers, and workers employed in the creative industries.

Joshua Becker

Post-Doctoral Fellow
Kellogg School of Management

Joshua Becker is a post-doctoral fellow at the Kellogg School of Management, working with Professor Ned Smith. His research on collective intelligence uses formal models and experimental tests to examine how social network structure shapes group decisions. His current research focuses on how communication networks can be harnessed to tap the wisdom of crowds and improve estimation accuracy on tasks such as financial forecasting, political beliefs, and medical diagnoses.

Zhongyang He

Pre-Doctoral Research Fellow
Kellogg School of Management

Zhongyang He is a visiting pre-doctoral fellow at the Kellogg School of Management, working with Professor Dashun Wang, and a Ph.D. candidate in the Department of Energy and Mineral Engineering at Pennsylvania State University. His research focuses on citation network analysis and modeling, and innovation activity and policy, with an emphasis on computational social science, drawing insights from various sources of data using tools in network science and statistics.

Inho Hong

Pre-Doctoral Research Fellow
Kellogg School of Management

Inho Hong is a visiting pre-doctoral fellow at the Kellogg School of Management, working with Professor Hyejin Youn, and a PhD candidate at Pohang University of Science and Technology, Korea. His research focuses on understanding social systems through data analysis and mathematical modeling, with a particular interest on economic complexity, knowledge structure, and human mobility.

Ching (Qing) Jin

Post-Doctoral Fellow
Kellogg School of Management

Qing Jin is a post-doctoral fellow at the Kellogg School of Management, working with Professors Brian Uzzi and Dashun Wang.  His research interests focus on studying social systems with a combination of theoretical tool and data analysis, including mathematical modeling of network dynamics, data-driven study of diffusion of innovations, understanding of universal substitution patterns, and uncovering the influence of social network on product adoption.

Woo Seong Jo

Post-Doctoral Fellow
Kellogg School of Management

Woo Seong Jo is a post-doctoral fellow at the Kellogg School of Management, working Professor Dashun Wang. His research covers various aspects of computational social science, complex networks, and modeling of complex systems with large-scale datasets. Recently, he focuses on understanding failures of a team using various datasets.

Hyunuk Kim

Pre-Doctoral Research Fellow
Kellogg School of Management

Hyunuk Kim is a visiting pre-doctoral fellow at the Kellogg School of Management, working with Professor Hyejin Youn, and PhD candidate in Industrial and Management Engineering at Pohang University of Science and Technology. His research interests are computational social science, innovation, and science of science. He is interested in understanding how collective and evolutionary behaviors lead disruptive innovation in society.

Jichao Li

Pre-Doctoral Research Fellow
Kellogg School of Management

Jichao Li is a visiting pre-doctoral fellow at Kellogg School of Management, working with Professor Dashun Wang, and a PhD candidate at National University of Defense Technology. His research interests lie in computational social science, complex systems, data mining, and machine learning, with a particular focus on data-driven study of career trajectory of scientific elites.

Liu Lu

Pre-Doctoral Research Fellow
Kellogg School of Management

Liu Lu is a visiting pre-doctoral fellow at Kellogg School of Management, working with Professor Dashun Wang, and a PhD candidate at College of Information Science and Technology, Pennsylvania State University. Her research interest is computational social science, science of science, data mining, and machine learning. She is particularly interested in understanding and quantifying the career trajectory of scientists and professionals from other domains.

Yifang Ma

Post Doctoral Fellow
Kellogg School of Management

Yifang Ma is a post-doctoral fellow at the Kellogg School of Management, working with Professor Brian Uzzi. His doctoral research focused on dynamical systems and complex networks. Yifang's research is focused on understanding the collective behaviors of individuals from massive data. He is also interested in citation networks, social and economic networks, human mobility, and data visualization.

Suman Kalyan Maity

Post Doctoral Fellow
Kellogg School of Management

Suman Kalyan Maity is a postdoctoral fellow at the Kellogg School of Management, working with Professor Dashun Wang. He received his Ph.D in computer science and engineering from IIT Kharagpur, India. He was a recipient of an IBM PhD Fellowship and Microsoft Research India PhD Fellowship Award. His research interest lies in the areas of data science, computational social science, machine learning, and computational linguistics. Currently, he is also interested in understanding science of success and failure.

Wouter Vermeer

Research Assistant Professor
Feinberg School of Medicine

Wouter Vermeer is a research assistant professor at the Feinberg School of Medicine. He organizes the NICO reading group. His main research interests lie in the field of network analysis, diffusion modeling and data science. He takes a network perspective and considers how this lens helps to understand the process of interaction and its consequent outcomes, using agent based modeling approaches to gain insights in various fields, ranging from epidemiology to sociology and marketing.

Yang Wang

Post Doctoral Fellow
Kellogg School of Management

Yang Wang is a post-doctoral fellow at the Kellogg School of Management, working with Professor Dashun Wang. His research focuses on network theory and data analysis, with particular interest in computational social science, big data, complex networks, and time series analysis. Currently, he is also interested in understanding human collective behavior and its connection to future success, using network tools.

Youyou Wu

Post Doctoral Fellow
Kellogg School of Management

Youyou Wu is a post-doctoral fellow at the Kellogg School of Management, working with Professor Brian Uzzi. Her doctoral work focused on inferring people's personality from their social media profiles using machine learning and text mining. More recently, she is interested in how machine algorithms' performance compares to humans' in various social/cognitive tasks, and whether algorithms can help overcome human biases.

Yang Yang

Research Assistant Professor
Kellogg School of Management

Yang Yang is a research assistant professor at the Kellogg School of Management, working with Professor Brian Uzzi. He studies data mining, statistics, and network science, with a focus on the link prediction problem, social influence analysis, and social network evolution. He is also interested in applying network methodologies to analyze the development of complex socio-economic systems, such as the traders alliance network.

Yian Yin

PhD Student, IEMS
McCormick School of Engineering

Yian Yin is a PhD student at the McCormick School of Engineering, working with Professor Dashun Wang. His research focuses on data mining and network science, with a focus on science of science and time series analysis. Prior to coming to Northwestern, he received a Bachelor degree in Statistics from Peking University.

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