Summary
Ruiqi Li is an associate professor and urban computing researcher with nine years of experience applying network science, big data, and computational modeling to human dynamics, epidemic spreading, and venture capital social networks. Based in Beijing, he leads work at UrbanNet-Lab and has held visiting roles at MIT and Boston University, bridging rigorous systems-science theory with applied urban data analysis. His PhD in Systems Science and Theory underpins a quantitative approach to complex urban systems, from spreading dynamics to network-driven investment behavior. Ruiqi is notable for combining academic leadership with hands-on data-driven modeling—bringing theoretical insights into practical tools for understanding cities and contagion processes. He recently transitioned to Beihang University after a multi-year associate professorship at Beijing University of Chemical Technology, reflecting a growing institutional impact in China.
9 years of coding experience
7 years of employment as a software developer
Ph.D., Systems Science and Theory, Ph.D., Systems Science and Theory at Beijing Normal University
Bachelor's degree, Computer Scicence, Complex Networks, Spreading Dynamics, Bachelor's degree, Computer Scicence, Complex Networks, Spreading Dynamics at University of Electronic Science and Technology
English, Chinese