Jiarui Gan

Jiarui Gan is a Lecturer in the Department of Computer Science at the University of Oxford, where they conduct research at the intersection of computational game theory, multi-agent systems, and artificial intelligence. Their work focuses on understanding and shaping interactions among intelligent agents in complex real-world scenarios, with applications spanning transportation systems, digital platforms, and societal ecosystems.

Dr. Gan's academic journey includes:

• PhD in Computer Science from the University of Oxford, supervised by Edith Elkind and Michael Wooldridge
• Postdoctoral research at the Max Planck Institute for Software Systems (MPI-SWS) with Rupak Majumdar

Dr. Gan's research program centers on computational approaches to game theory and multi-agent systems. They investigate how to design incentive mechanisms that effectively coordinate autonomous agents toward organizational objectives, while addressing critical issues of fairness, security, and sustainability. Their work spans several interconnected themes:

• Principal-agency problems and dynamic mechanism design
• Stackelberg games and robust equilibrium concepts
• Fair resource allocation and envy-freeness in multi-agent settings
• Bayesian persuasion and information design
• Applications to security, transportation, and societal challenges

Analysis of Dr. Gan's publication record reveals a consistent pattern of bridging theoretical insights with practical applications. Their work demonstrates sophisticated mathematical modeling combined with algorithmic innovations, resulting in computationally tractable solutions for complex multi-agent problems. The research shows particular strength in developing frameworks that unify previously disparate problem domains, such as their generalized principal-agency model that encompasses contract design, information design, and Bayesian Stackelberg games.

Dr. Gan is actively involved in the academic community, mentoring students and collaborating with researchers across institutions. They are currently seeking motivated PhD students interested in computational game theory and multi-agent systems, with opportunities to work on both theoretical foundations and practical applications that address societal challenges.