Şirag Erkol is a Postdoctoral Fellow at the Center for Science of Science and Innovation at the Kellogg School of Management at Northwestern University. He has a Ph.D. in informatics from Indiana University Bloomington and M.S. in industrial engineering from Bogazici University. His research interests lie in the science of science and network science. His work focuses on understanding the dynamics of scientific careers and academic networks using varying research methods.
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Alexander (Zander) C. Furnas is a Research Assistant Professor at the Center for Science of Science and Innovation at the Kellogg School of Management at Northwestern University. He has a Ph.D. in political science from the University of Michigan. He researches the political economy of information, with a focus on the production, dissemination, and uptake of science and expertise in the policymaking process. His dissertation examines how congressional staffers evaluate and use privately provisioned information produced by outside organizations. He has published articles in the American Political Science Review, Proceedings of the National Academy of Sciences, and Legislative Studies Quarterly, among others. More generally, he studies the use of information, science, and expertise in policymaking, interest groups, and elite political behavior using survey, text analysis, and network methods.

Jian Gao is a Research Assistant Professor in the Center for Science of Science and Innovation (CSSI) at the Kellogg School of Management and the Northwestern Institute on Complex Systems (NICO) at Northwestern University. He obtained a Ph.D. in computer science from the University of Electronic Science and Technology of China. His research interests lie in the science of science, computational socioeconomics, network science, and economic complexity. His recent work focuses on measuring the disparities in exposure to artificial intelligence (AI) technologies and estimating the benefits of AI in science and innovation.
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Bernard Koch is a Postdoctoral Fellow at the Center for Science of Science and Innovation in the Kellogg School of Management. Starting in 2024, he will be an Assistant Professor in the Department of Sociology at the University of Chicago. His research is focused on organizational issues in scientific fields (particularly AI research and psychology) and their ethical and epistemic outcomes. He also has interests in cultural evolution, machine learning, and causal inference. His work has been published in NeurIPS, WWW, Soc. Methodology, Soc.Methods & Res, and Science, among other venues.

Zihang Lin is currently a Ph.D. student in the Department of Industrial Engineering & Management Sciences at the McCormick School of Engineering at Northwestern University, with affiliations at Kellogg Center for Science of Science & Innovation (CSSI) and Northwestern Institute on Complex Systems (NICO). His research interests encompass computational social science, science of science, and innovation. Recently, his endeavors have been concentrated on extensive data analyses with advanced machine learning techniques, in a quest to achieve a deeper understanding of science and innovation, specifically focusing on accelerating innovation ecosystems. He attained a B.Sc. degree in computer science from Fudan University in 2023.
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Rui Pan is a Pre-Doctoral Fellow at the Center for Science of Science and Innovation (CSSI) at the Kellogg School of Management. She is currently an MA candidate in Computational Social Science at the University of Chicago, with affiliations at the Knowledge Lab. She completed her bachelor’s degree in Economics and Philosophy at Peking University in 2020. Her research interests lie in understanding team collaboration and innovation with computational methods, including content analysis, social network analysis, and experiments. She is actively seeking an opportunity as a Ph.D. student starting in Fall 2023.

Yifan Qian is a Research Assistant Professor at the Center for Science of Science and Innovation at the Kellogg School of Management at Northwestern University. His current research focus is the science of science and combines theories and methods from network science, machine learning, data science, and sociology. By leveraging large-scale datasets encompassing scientific funding, publications, societal impacts, and confidential university data on technology transfer and grant applications, his current work aims to broaden our definition and measurement of innovations while identifying new gaps and opportunities for innovations at research institutions. 
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Erzhuo Shao  is a Ph.D. Candidate at the McCormick School of Engineering, majoring in Industrial Engineering & Management Sciences. His research interests lie in computational social science, complex networks, and machine learning. He received a B.Eng. degree and an M.Sc. in Electronic Engineering from Tsinghua University. He also received an M.S.E from Johns Hopkins University.
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Giorgio Tripodi is a Postdoctoral Fellow at the Center for Science of Science and Innovation at the Kellogg School of Management at Northwestern University. He received a Ph.D. in Data Science from Scuola Normale Superiore (Pisa, Italy). He was previously a research fellow at Scuola Superiore Sant’Anna (Pisa, Italy) and a visiting scholar at the Center for Science of Science and Innovation (CSSI) and the Kellogg School of Management at Northwestern University (‘20). His research interests lie at the intersection between science of science, network science, and economics of innovation, focusing on climate-related technologies and how innovators move and interact in the knowledge space. He received an M.Sc. in economics from Bocconi University in 2015.

Binglu Wang is a Ph.D. student in Management & Organizations (MORS) at the Kellogg School of Management at Northwestern University, with affiliations at the Center for Science of Science and Innovation (CSSI) and the Northwestern Institute on Complex Systems (NICO). Her research involves computational social science, technology & innovation, and social networks, with a focus on understanding how community collapses from large-scale datasets. She received her bachelor's degree in information management and information system from Peking University in 2019.

Yifang Wang is currently a Post-Doctoral Fellow in the Center for Science of Science and Innovation (CSSI) in the Kellogg School of Management at Northwestern University. Before that, she obtained a Ph.D. degree in the Department of Computer Science and Engineering from The Hong Kong University of Science and Technology (2022). Her research interests lie broadly in visual analytics of computational social science and digital humanities. She also explores data-driven art, data storytelling, and immersive visual analytics with AR & VR. Her current research focuses include visual analytics of Science of Science, social mobility and inequality, and data-driven art about social science and humanities.
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Sijia Wei is a Post-doctoral Fellow in the Integrated Health Services and Outcomes Research Fellowship Program at the Center for Education in Health Sciences, Feinberg School of Medicine at Northwestern University. She earned her Ph.D. in Nursing Science from Duke University and is a registered nurse and public health nurse with clinical experience in community-based health care services (i.e., long-term care, home health care, rehabilitation, and hospice). Her research focuses on care coordination processes in care transitions across settings and over time by evaluating relational processes and social mechanisms essential to care coordination using social network analysis and large datasets such as electronic health records. She seeks to understand the complex systemic drivers of health disparities for adults with chronic illnesses and disabilities in the community and aims to improve care efficiency, health equity, and patient outcomes by enhancing care coordination processes.
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Seokkyun Joshua Woo is an Assistant Professor at Korea Advanced Institute of Science & Technology (KAIST). He was a Postdoctoral Fellow at the Center for Science of Science and Innovation at the Kellogg School of Management at Northwestern University. He has a Ph.D. in public policy from the Georgia Institute of Technology and an M.S. in statistics from the School of Industrial and Systems Engineering from the same institution. He is primarily interested in understanding how science and other inventive activities are organized using a wide range of research methods and techniques. In his dissertation, he examined how the work organization of science affects the production and consumption of science, as well as examining its relationship with inequalities observed in various dimensions of science.

Yian Yin is an Assistant Professor at Cornell University. Prior to that, he was a Research Assistant Professor at Kellogg School of Management. As a computational social scientist, he applies and develops novel computational tools to understand how individual, social, and environmental processes independently and jointly promote (or inhibit) scientific progress and innovation achievements. His research has been published in top general audience journals such as Science, Nature, Nature Human Behaviour, and Nature Reviews Physics. 
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Wenyuan Liu is a geophysicist at CGG. He was a Postdoctoral Fellow in the Center for Science of Science and Innovation (CSSI) at the Kellogg School of Management. He obtained a bachelor’s degree in physics from Wuhan University in China. Then, he moved to Singapore and obtained a Ph.D. degree from Nanyang Technological University. After that, he worked as a research fellow there. His research interests include network theory and science of science.

Taegyoon Kim is an Assistant Professor at Korea Advanced Institute of Science & Technology. He was a Postdoctoral Fellow at the Center for Science of Science and Innovation at the Kellogg School of Management at Northwestern University. He has a Ph.D. in political science and social data analytics from the Pennsylvania State University. He develops and applies various computational/statistical methods and experiments (survey, field) to study science communication, political communication, contentious politics, and state politics, focused on the U.S.

Zifeng Liu was a Postbaccalaureate Research Fellow in the Center for Science of Science and Innovation (CSSI) at Kellogg School of Management. He obtained his bachelor’s degree in physics from Xi’an Jiaotong University in China in 2021. His research interests lie in the science of science, network science and mathematical modeling.

Diego Gómez-Zará is a Ph.D. in Technology and Social Behavior at Northwestern University. He also graduated with a Ms. in computer science at Pontificia Universidad Católica de Chile. His research interests are computational behavior modeling, social networks, groups, and systems. Grounded in human-computer interaction and network science, Diego studies how people assemble groups using online systems. Diego’s work has been published in multiple venues, including the ACM CHI and CSCW conferences. His dissertation research was awarded the 2020 Microsoft Research Dissertation Grant and the National Science Foundation SES-2021117. In 2018, he became a Ph.D. fellow of the Northwestern Segal Institute’s Design Cluster. In the past, he has taught courses on web technologies and social networks. Recently, Diego was an intern at the Snap Inc. Research Team. He is currently serving as a member of the ACM CSCW Steering committee.

Nima Dehmamy was a Research Assistant Professor at the Center for Science of Science and Innovation (CSSI), the Northwestern Institute on Complex Systems (NICO), and the Kellogg School of Management at Northwestern University. He holds a Ph.D. in physics from Boston University and was formerly a Postdoctoral Research Fellow at the Barabasi Lab at Northeastern University. His work focuses on using artificial intelligence, network science, and physics-based modeling to understand growth and development in science and art. He works on developing graph neural networks and embedding methods for analysis of large-scale scientific publications as well as other social science data.
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Suman Kalyan Maity was a Postdoctoral Research Fellow at the Center for Science of Science and Innovation (CSSI), the Northwestern Institute on Complex Systems (NICO), and the Kellogg School of Management at Northwestern University. He received his Ph.D. in computer science and engineering from IIT Kharagpur, India. He was a recipient of the IBM Ph.D. Fellowship and Microsoft Research India Ph.D. 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.

Lu Liu was 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.

Woo Seong Jo was a Postdoctoral Researcher at the Northwestern Institute on Complex Systems (NICO) and the Kellogg School of Management at Northwestern University. His research subjects cover 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. He received his Ph.D. in physics from Sungkyunkwan University in 2018.
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Yi Bu is an Assistant Professor at the Department of Information Management, Peking University. He was a visiting Predoctoral Research Fellow at the Center for Science of Science and Innovation (CSSI) and the Northwestern Institute on Complex Systems (NICO) at Northwestern University. He is doing research in the application aspect of big data analytics, with a particular focus on scholarly data mining. He has an undergraduate degree in information management and system from Peking University, an M.S. in data science, and a Ph.D. in informatics from Indiana University.
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Zhongyang He received his bachelor’s and master’s degree in mechanical engineering from Tsinghua University in China. He received his Ph.D. degree in the Department of Energy and Mineral Engineering at Pennsylvania State University. His research focuses on citation network analysis and modeling, innovation activity and policy, and resource and public health issues, with an emphasis on computational social science, drawing insights from various sources of data via tools in network science and statistics. 
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Yang Wang was a postdoctoral research fellow at the Center for Science of Science and Innovation (CSSI), the Kellogg School of Management, and the Northwestern Institute on Complex Systems (NICO) at Northwestern University. He is currently a professor at the School of Public Policy and Administration, Xi'an Jiaotong University, China. His research focuses on Science of Science, Network Science, Innovation and Research Policy. He received his Ph.D. in physics from Bar-Ilan University, Israel.
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Jichao Li was 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.

Ching Jin was a Postdoctoral Researcher 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 the science of science. His recent research interests include the data-driven study of diffusion of innovations, universal scaling in substitutive systems, the influence of social networks on product abandonment and interaction of prizes and scientific developments.