I focus on areas emerged from the interface between Computer Science and Economics, more specifically on computational game theory and its applications. I am interested in game-theoretic problems in reputation and ranking as well as those in the context of networks and market mechanisms. I also conduct experimental research online for studying game-theoretic interactions among human subjects. I am co-supervised by Prof. Luke Ong and Prof. John Quah from Department of Computer Science and Department of Economics respectively. In addition to my doctoral work, I was a Research Assistant at Centre for Experimental Social Sciences, where I designed, implemented and conducted lab-based behavioral experiments for research in Economics.

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Efficiency and Equilibrium in Network Games: An Experiment

Paper Working paper | | Dec 2014

The tension between efficiency and equilibrium is a central feature of economic systems. In many contexts, social networks mediate this trade-off: an individual’s network position determines equilibrium play, and social relations allow coordination on an efficient norm.