Hello, I am Baike She. My research methods draw from dynamical systems, control theory, network science, machine learning, and privacy. I integrate both analytical and computational approaches, focusing on modeling and analyzing real-world network dynamics such as multi-agent systems, information spreading, and disease transmission, while also designing strategies to influence these dynamics.

A key challenge in my research is combining model-based and data-driven approaches—leveraging traditional network models alongside modern machine learning techniques to improve system modeling and controller design. I also investigate scenarios where analyses and control designs must account for model inaccuracies. Additionally, I explore composite network dynamical systems by analyzing their sub-networks, aiming to infer the dynamics of large-scale networks through their components and understand how decision-making in one network affects others. By addressing these challenges, my research contributes to the understanding and control of network dynamics in modern social-technological systems.