Paolo GIRARDI

Position
Associate Professor
Telephone
041 234 8401
E-mail
paolo.girardi@unive.it
Scientific sector (SSD)
Statistica [STAT-01/A]
Website
www.unive.it/people/paolo.girardi (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino
Room: office Z.A16 (Zeta A building, 1st floor)
Research Institute
Research Institute for Complexity

Employment history

February 2025 – Present Associate Professor of Statistics (STAT-01/A) Ca’ Foscari University of Venice, Italy

February 2022 – January 2025 Assistant Professor / Fixed-term Researcher (RTDB) in Statistics Scientific sector: STAT-01/A (formerly SECS/01) Ca’ Foscari University of Venice, Italy

September 2019 – January 2022 Fixed-term Researcher (RTDA) in Psychometrics Scientific sector: MPSI/03 University of Padua, Italy

September 2015 – September 2019 Statistician Azienda Zero – Veneto Regional Health System, Italy

October 2013 – August 2015 Postdoctoral Research Fellow in Statistics Ca’ Foscari University of Venice, Italy

April 2012 – September 2013 Statistician Collaboration with Local Health Authorities (ASL), Veneto Region, Italy

Education and research activity
I obtained my Master’s degree in Computer Science and Statistics from the University of Padua in 2007.
After one year as a research fellow, I began a PhD program in Biosciences, with a curriculum in Biostatistics, under the supervision of Prof. Roberto De Marco, and was awarded the PhD degree in 2012.

I subsequently held a postdoctoral position in Statistics at Ca’ Foscari University of Venice, under the supervision of Prof. Gaetan.

My research activity primarily focuses on the development and application of statistical methods to address real-world problems, with a particular emphasis on environmental epidemiology. My main research interests include:

  • Spatial and temporal analysis, aimed at investigating patterns in environmental variables;
  • Bayesian methods, for modeling complex data structures in environmental studies;
  • Epidemiological modelling, to study the association between environmental exposures and health outcomes.

Further details on my research activity and publications are available on my Google scholar page.