Anzhi Sheng

Anzhi Sheng serves as a Research Fellow at the Division of Decision and Control Systems, KTH Royal Institute of Technology, working under postdoctoral mentors Angela Fontan and Silun Zhang.

Educational Background:

• Ph.D. in Mechanical Systems and Control, Peking University, 2025
• Visiting Researcher, Department of Biology, University of Pennsylvania (2022-2024), supervised by Joshua Plotkin
• B.S. in Applied Mathematics, Zhejiang University of Technology, 2019

Research Interests: Anzhi Sheng's work centers on evolutionary game theory and network science, with particular emphasis on their interplay in modeling strategic behavior evolution within structured populations. His research bridges theoretical biology, complex systems, and dynamical systems, exploring how network topologies influence cooperative behavior emergence and evolutionary stability across biological and social contexts.

Scientific Awards: No awards or honors were documented in the provided information.

Advising and Grants: Current documentation indicates no formal student advisees or grant funding details. His research activities are primarily supported through institutional affiliation with KTH's Division of Decision and Control Systems.

Labs and Teams: Anzhi Sheng operates within the Division of Decision and Control Systems at KTH Royal Institute of Technology (Malvinas Väg 10, Room A:723), contributing to collaborative projects under the mentorship structure established by Angela Fontan and Silun Zhang.