معرفی
Tiziana Di Matteo is Professor of Econophysics in the Department of Mathematics at King's College London. Her research integrates methods from statistical physics, complex systems theory, and data science to analyze economic and financial systems.
Research focuses on complex networks in financial markets, multiscale analysis of economic systems, machine learning applications in economics, and network-based risk modeling. Current projects examine systemic risk in banking networks, cryptocurrency dynamics, and economic complexity metrics for development forecasting.
Publications demonstrate innovations in network filtering techniques, multidimensional data analysis, and econophysics methodologies. Recent work includes tensor-based decomposition methods for financial data, clustering algorithms for high-dimensional datasets, and analyses of market correlation structures.
Professor Di Matteo serves as Editor for multiple journals including European Physical Journal B and Chaos, Solitons & Fractals. She mentors doctoral students in financial mathematics and complex systems through the London School of Economics systemic risk program.
