At the time of publication Matthew is a Computational Social Science (CSS) Ph.D. student in the Department of Computational and Data Sciences at George Mason University (GMU). His research is focused on applying CSS methods for the purpose of gaining a greater understanding of how financial markets behave and to explore the dynamics driving innovation. To achieve these research goals, he has positioned himself at the intersection of agent-based modeling, network analysis, and big data/data science.
Prior to commencing his Ph.D. at GMU, Matthew gained his Masters in Computational Social Science from CMU in 2016. Prior to this course of study, Matthew gained work experience in financial markets as a buy-side analyst. Matthew’s original tertiary qualification is a Bachelor of Economics with honors from the University of Tasmania (1995), he is also a Chartered Financial Analyst (CFA) charter holder.