Dr. Chengyi Tu is a Professor and Supervisor at the School of Economics and Management, Zhejiang Sci-Tech University. He earned his Ph.D. in Statistical Physics from the University of Padua in Italy, following a Master's degree in Control Theory and Control Engineering and dual undergraduate degrees in Electronic Information Engineering and Law. He subsequently completed postdoctoral research at the University of California, Berkeley. His research operates at the intersection of statistical physics, nonlinear dynamics, and complexity science, with specific applications to socio-ecological systems, global trade networks, and common-pool resource governance. Utilizing mechanism-driven paradigms and AI for Science methodologies—including Physics-Informed Neural Networks and Graph Neural Networks—his work recontextualizes economic and ecological crises as topological phase transitions governed by endemic bistability and macroscopic hysteresis. He has published over 70 SCI/SSCI-indexed papers in authoritative journals, including high-impact publications in Nature Sustainability, One Earth, and Advances in Physics: X.