Claudio Pizzi is an Associate Professor of Economic Statistics at the Department of Economics within Ca' Foscari University of Venice. He also participates in the Interdepartmental School of Economics, Languages and Entrepreneurship for International Exchanges at the Treviso campus. With over two decades at the institution (since 2004 as faculty), he has extensive experience in quantitative methods and their applications to economic/financial phenomena.

Academic affiliation: Department of Economics & SELISI Interdepartmental Center
Research locations: San Giobbe (Venice) and Palazzo San Paolo (Treviso)
Office hours: Venice (Wednesdays) and Treviso (Thursdays) via in-person or virtual meetings

His research integrates statistical modeling with artificial intelligence, focusing on:

Financial time series analysis (parametric/non-parametric)
Machine learning applications in economic and financial contexts
Technical analysis trading strategies
Emotional/social/cognitive competency measurement
Nonlinear cointegration and hidden dependency detection

Article analysis reveals consistent themes in computational finance, evolutionary algorithms, and organizational behavior. He frequently employs Particle Swarm Optimization for financial modeling, explores emotional intelligence in career development, and contributes to actuarial science through derivative pricing and risk modeling techniques.

As part of his academic service, Pizzi:

Participates in the SELISI Joint Commission
Organizes international conferences (MAF2008, MAF2012)
Collaborates across disciplines with institutions like the Department of Management
Teaches computational methods to economics students

Claudio PizziView profile