December 23, 2021
. Yuan researches social interactions and social networks for social well-being. He is especially interested in how to utilize social preference and social contagion to promote positive social interactions, and how social networks have shaped human behavior and can be reshaped by digital technologies. His research also aims to advance the methodology in computational social science by drawing upon quantitative methods such as machine learning, causal inference, experimental design, and network science. Yuan received his PhD in Institute for Data, Systems, and Society (IDSS) at Massachusetts Institute of Technology and prior to MIT, received his Bachelor’s degree in Computer Science and Economics from Tsinghua University.