Paolo Pigato

Paolo Pigato is an Associate Professor of Financial Mathematics at the Department of Economics and Finance, University of Rome Tor Vergata, and a member of the Rome Centre on Mathematics for Modeling and Data Sciences (RoMaDS). He previously worked at the Weierstrass Institute for Applied Analysis and Stochastics in Berlin, within the Stochastic Algorithms and Nonparametric Statistics group, and at Inria's Nancy-Grand Est center in the Tosca team (simulation and calibration of stochastic processes). His research focuses on financial mathematics, stochastic processes, and applied mathematics. He holds a PhD in Applied Mathematics from University Paris-Est and University of Padova.

• Education:
• PhD in Applied Mathematics: University Paris-Est & University of Padova

His research interests include stochastic modeling, financial derivatives, and data-driven methods in economics. Though no specific articles or awards are listed, his work bridges theoretical mathematics and practical applications in finance and data science.

Professional experience includes roles at leading institutions in Berlin and Nancy, contributing to stochastic algorithms and mathematical modeling for real-world systems.