Yang Wang received his Ph.D. in physics from Bar-Ilan University in Israel. He is now a postdoc fellow at the Kellogg School of Management and the Northwestern Institute on Complex Systems (NICO) at Northwestern University. 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.
Yian Yin is a first-year Ph.D. student of Industrial Engineering & Management Sciences (IEMS) at the McCormick School of Engineering at Northwestern University, with affiliation at the Northwestern Institute on Complex Systems (NICO). He studies data mining, complex systems, and computational social science, with a focus on understanding successes and failures in individual careers from large-scale datasets. He is also interested in applying network science models to analyze the temporal evolution of science. He received bachelor’s degrees in statistics and economics from Peking University in 2016.
Lu Liu is a Ph.D. student at the College of Information Science and Technology at Pennsylvania State University. Her research interests are 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. She received her B.S. and M.S. degree in physics from Fudan University in 2012 and 2015, respectively.
Ching Jin is a predoctoral research fellow at the Northwestern Institute on Complex Systems (NICO) and the Kellogg School of Management at Northwestern University and a Ph.D. candidate in physics at Northeastern University. His research involves network science, statistical physics, computational social science, and data analysis, with a particular focus on mathematical modeling of network dynamics, data-driven study of diffusion of innovations, understanding universal scaling in substitutive systems, and uncovering influence of social networks on product substitutions.
Zhongyang He received his bachelor’s and master’s degree in mechanical engineering from Tsinghua University in China. He is now 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
Jichao Li is a visiting scholar at the Northwestern Institute on Complex Systems (NICO) at Northwestern University. His research interests lie in data science and social networks. He received his B.E. in management science and an M.E. in management science and engineering from the National University of Defense Technology in 2013 and 2015, respectively. He is now a Ph.D. candidate in the System-of-Systems Engineering Lab at the National University of Defense Technology.