Andrea Tamburini joined VID in September 2020 as member of the DataLab working on the BayesEdu project. His expertise involves the application of Bayesian methods for mortality reconstruction and the application of machine learning techniques int he context of population projections. He joined the Vienna Doctoral School of Social Sciences studying the application of advanced statistical techniques to increase the level of refinement of population and vital rates reconstructions and projections.
Andrea holds a Bachelor degree in Mathematics form the University of Milan and a Master degree in Mathematical Finance and Actuarial Sciences from the Technical University of Munich.
Areas of Expertise
- statistical modelling
- bayesian reconstruction methods
- machine learning applications
View online CV
Phone: +43 1 51581 - 7747