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Daniel Woods is a Postdoctoral Researcher at Macquarie Business School, associated with the Macquarie Research Fellowship. He earned his PhD in Economics from Purdue University, Indiana, USA, on August 6, 2021. His academic journey also includes bachelor's and master's degrees from the University of Canterbury in Christchurch, New Zealand. Woods has published several articles in prestigious A*/A journals, such as Games and Economic Behavior, Experimental Economics, and Economic Inquiry. He has successfully obtained research funding from various institutions, including the International Foundation for Research in Experimental Economics (IFREE) and the Institute for Humane Studies. His research primarily focuses on Behavioral, Computational, and Experimental Economics, encompassing topics like cyber-security, markets, decision-making preferences, and personality testing. Currently, he is engaged in research associated with the 'Bandit' problem, exploring how individuals make decisions in uncertain environments. Furthermore, Woods actively collaborates across disciplines, particularly in areas intersecting with Computer Science, fostering insights to address crucial questions in economics and beyond.
Macquarie Business School • Macquarie Park, NSW
Conducting research within the Macquarie Research Fellowship framework.
Applied to Department of Business (MBA Program).