Andrea Zaccaria is a Researcher at the Institute for Complex Systems (ISC)-CNR. He
received his Ph.D. in Physics at the “Sapienza” University of Rome, where he applied
concepts and methods borrowed from Statistical Physics and the Physics of Complex
Systems to the study of financial markets. As a member of the research and development
group of SoSE Spa, one of the main Italian fiscal agencies, he developed a machine
learning algorithm to classify taxpayers and detect tax evasion. His present work is
focused on the Economic Complexity approach, and in particular on the application of
complex networks methodologies, algorithmic tools, and machine learning to development
economics. These scientific findings led to consultancies at the International Finance
Corporation (IFC), World Bank Group.
Research Keywords & Expertise
Complex Networks
financial time series
Economic fitness and c...
Agent-based models
Order book
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Complex Networks
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Economic fitness and complexity
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Order book
Short Biography
Andrea Zaccaria is a Researcher at the Institute for Complex Systems (ISC)-CNR. He
received his Ph.D. in Physics at the “Sapienza” University of Rome, where he applied
concepts and methods borrowed from Statistical Physics and the Physics of Complex
Systems to the study of financial markets. As a member of the research and development
group of SoSE Spa, one of the main Italian fiscal agencies, he developed a machine
learning algorithm to classify taxpayers and detect tax evasion. His present work is
focused on the Economic Complexity approach, and in particular on the application of
complex networks methodologies, algorithmic tools, and machine learning to development
economics. These scientific findings led to consultancies at the International Finance
Corporation (IFC), World Bank Group.
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