He is interested in technology, innovation, productivity, and the workforce. His prior work experience includes program evaluation and R&D project management in federal government at the National Institute of Standards and Technology, and in public-private partnership programs for early-stage R&D, where he interacted with both start-ups and large corporate R&D centers.
Andrew received a BA in history and economics from the University of California, Berkeley, and a PhD in economics from Harvard University.
Ruyu Chen’s research interest lies at the intersection of economics of innovation, information systems, and business strategy. In her current research, she explores factors that influence technology adoption by firms, and how technology adoption influences follow-on innovations. She’s also interested in the power law distribution of wages within each occupation and how digitization might have affected it over time.
Before joining Stanford, Ruyu received her PhD in Managerial Economics from Cornell SC Johnson College of Business, and a graduate minor in Computer Science from Cornell University. She also holds a bachelor’s degree from Renmin University of China, and spent one exchange semester at the University of Copenhagen.
Gabriel Unger is an economics PhD student at Harvard. He jointly completed a JD at Yale Law School, and completed his undergraduate education at Harvard. His main field of is macroeconomics. His research broadly attempts to understand how technological changes, like the IT Revolution, change our understanding of important macroeconomic questions, like the mechanics of productivity growth, the rise of industrial concentration, or the transformation of the business cycle.
Frank is a postdoctoral fellow at Stanford’s Institute for Human-Centered Artificial Intelligence Digital Economy Lab and a visiting fellow at NYU Stern Center for the Future of Management. His research stands at the nexus of information technology, future of work and human capital, and organizations. Specifically, he studies the impact of digital and information technologies, such as AI and robotics, on future of work, firms and the society, how human and organizational capital shape technological innovation and adoption, and these factors’ implications for firm behavior, entrepreneurial activities, and policy. He is also interested in the diffusion and impacts of advanced technologies and technical skills on firms and workers, and how uncertainty shocks and competition affect firm investment, innovation, and reorganization decisions.
Frank received his Ph.D. in business administration from Ross School of Business at the University of Michigan. He holds a BA in math and economics from the University of Michigan and an MA in economics from Duke University.
His current focus is developing new well-being metrics by using massive online choice experiments. He also studies the application of machine learning techniques to measure individual-level latent parameters. Lee
Before coming to Stanford, JJ worked at the MIT Initiative on the Digital Economy as a postdoctoral associate. He received his PhD in economics at Claremont Graduate University in 2019.
Lee has work experience as a business consultant, a financial analyst and a policy analyst in South Korea before his doctoral study. He also holds a bachelor degree in economics from Seoul National University and a master’s degree in public policy from KDI School of Public Policy and Management.
