Jiarui Gan

Jiarui Gan is a Departmental Lecturer at the Department of Computer Science, University of Oxford. His research focuses on computational game theory, multi-agent systems, and AI, with an emphasis on strategic decision-making, algorithmic strategy design, and fairness in resource allocation. Prior to his current role, he was a postdoctoral researcher at the Max Planck Institute for Software Systems and earned his DPhil (PhD) in Computer Science from the University of Oxford in 2021.

His work bridges theoretical foundations and practical applications, addressing challenges in security games, reinforcement learning, and mechanism design. He actively seeks motivated PhD students interested in his research areas and advises on topics related to algorithmic fairness, multi-agent interactions, and strategic computing.

• Education: DPhil in Computer Science, University of Oxford (2021)
• Postdoctoral Research: Max Planck Institute for Software Systems
• Key Research Themes: Algorithmic Game Theory, Multi-Agent Systems, Security Games, Fair Division

Publications highlight contributions to Bayesian persuasion in sequential decision-making, envy-freeness in resource allocation, and strategic deception in Stackelberg games. His work frequently appears in top conferences such as AAAI, NeurIPS, and AAMAS.