Raffaele Ghigliazza PhD is a quantitative researcher whose work spans finance, macroeconomics, machine learning, and applied dynamical systems. His research focuses on uncertainty, stress, and instability in complex systems, with applications ranging from financial markets and economic cycles to risk management and decision processes. He combines statistical modeling, time-series analysis, and nonlinear methods to study regime change, robustness, and the limits of standard modeling assumptions. His publications span economics, finance, machine learning, and applied sciences. He has worked across academia, asset management, and technology-driven research environments.
