Xiangyi is a postdoctoral research associate at the Center for Complex Network Research of Northeastern University, Boston. He graduated from Peking University, China with a B.S. degree in microelectronics and earned his Ph.D. in physics five years later at Boston University. As a physicist and a network scientist, he has been working on a wide range of topics, including the scale-free network theory and information diffusion on complex networks, forecasting chaotic dynamics using tensorized recurrent neural network architectures, as well as interdisciplinary network science applications on brain tractography and econophysics. Recently, he is working with Prof. Albert-László Barabási on applying text analysis to science of science/computational social science, focusing on using interpretable natural language processing tools to reveal connections between academic publications/citations and scientific topics.