Giancarlo Manzi

Giancarlo Manzi is an Associate Professor of Statistics at the Department of Methods and Models for Economics, Territory, and Finance, University of Rome La Sapienza. He holds a PhD from the University of Milan-Bicocca and conducted thesis research at the University of Toronto. His career includes roles at the Medical Research Council Biostatistics Unit in Cambridge and the University of Milan.

• University of Rome La Sapienza (Current)
• Medical Research Council Biostatistics Unit (Former Researcher)
• University of Milan (Former Researcher and Associate Professor)
• University of Milan-Bicocca (PhD)
• University of Toronto (Thesis collaboration)

His research spans Machine Learning, Bayesian Statistics, and Smart Mobility, with a focus on Covid-19 analytics, data visualization, and epidemiological modeling. He integrates Multivariate Statistics with Public Health to address complex challenges in health systems and urban environments.

The 15 most recent publications highlight expertise in quantile regression, Bayesian networks, time-series analysis, and smart mobility optimization. His methodological contributions include wavelet analysis, cross-correlation models, and SIRD modeling frameworks applied to pandemic dynamics and bike-sharing systems.

Scientific awards and honors are not explicitly mentioned in the provided texts. Giancarlo Manzi has taught at the University of Verona, Catholic University of the Sacred Heart, and Universidad Carlos III in Madrid, maintaining strong ties with Italy's academic institutions.