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Returned to Melbourne, grew up joining the Department of Economics at Monash University in 2008 after spending a decade at UNSW for undergraduate and postgraduate studies across Arts, Science, and Economics. He briefly became a member of the Department of Economics to teach large first-year classes in Quantitative Methods. His academic journey has been enriched by residential trips to the Santa Fe Institute in New Mexico, which ignited his life-long interests in complex pattern formation and iterative processes across various sciences and computational methodologies. Angus has engaged in the burgeoning field of Complex Systems Science within economics, often described as complexity economics. He is actively involved in numerous projects combining data science and computational methods across various sciences, including social, biological, and physical domains. His commitment to raising academic literacy in the community regarding AI and machine learning is evident in his teaching curriculum, aimed at ensuring students are well-versed in the ethics and practices of data. Not only is he recognized for his diverse research activities and significant contributions to the field, but he has also received multiple awards for his teaching excellence, including the prestigious Australian Awards for University Teaching.
Monash University • Melbourne
Joined Monash University, focusing on teaching and research in the Department of Economics.
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