
Meng-Jhang Fong
Research Fellow · Experimental Economics
Max Planck Institute for Research on Collective GoodsAbout
Meng-Jhang Fong serves as a Senior Research Fellow at the Max Planck Institute for Research on Collective Goods in Bonn, Germany, working within Axel Ockenfels' Economic Design & Behavior research group since April 2025. Previously, he held a Postdoctoral Scientist position at Amazon from October 2023 to October 2024.
His academic credentials include:
- PhD in Social Science from California Institute of Technology (2018-2023)
- MA in Economics from National Taiwan University (2014-2016)
- BBA in Finance from National Taiwan University (2010-2014)
Dr. Fong's research centers on Experimental Economics, Behavioral Economics, and Game Theory, with emphasis on strategic reasoning limitations and institutional design. His work bridges theoretical frameworks like cursed equilibrium with laboratory validation, particularly examining how imperfect belief updating affects multistage games and how robotic agents can isolate rationality levels in human decision-making. Key contributions include extending cursed equilibrium to sequential settings and developing experimental protocols for measuring higher-order beliefs.
His publication record shows consistent output in top-tier venues including the American Economic Review and Experimental Economics, with recent work focusing on sequential game theory applications and experimental methodologies for measuring strategic cognition. The research demonstrates a cohesive trajectory from theoretical extensions of equilibrium concepts to empirically testable predictions using controlled laboratory environments.
No scientific awards are documented in the available materials.
Information regarding student supervision or grant funding is not provided in the source texts.
He currently operates within the Economic Design & Behavior research group at the Max Planck Institute, collaborating with Professor Ockenfels on projects investigating economic institutions through combined theoretical and experimental approaches.
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