Saverio Ranciati (2017-2019) - Coordinator
My name is Saverio Ranciati and I am currently based in Bologna at the Department of Statistics, where I've just started my 3rd year post-doc fellowship. I receveid the Ph.D. degree in Statistical Sciences after a joint-double PhD program from both University of Groningen (The Netherlands) and University of Bologna (Italy). My interests lie in model-based clustering, mixture models, penalized regression, differential equations, and - most recently - network models. I work mainly in the Bayesian paradigm and I am fascinanted by the computational aspect of implementing statistical techniques. I also enjoy teaching Statistics, as I feel it gives you deeper understanding on your own perspective on the subject and polishes communication skills. You can find my personal website at: Saverio Ranciati.
Anna Calissano (2017-2019) - Secretary
I am Anna Calissano, PhD Student at MOX Politecnico di Milano in “Mathematical models and methods for engineering". I graduated in 2015 in Mathematical Engineering, with a specialization in applied statistics. My research is focused on Text mining and Network Value data. I work in multidisciplinary laboratory for Smart City. Before starting my research experience at MOX, I worked as scientific communication consultant at Otto-Von-Guericke Universitaete in Germany. I am a co-funder of PoliResearch Club.
Gaia Bertarelli (2018-2019)
My name is Gaia Bertarelli and I'm currently a Post-doctoral Research Fellow at the Department of Economics and Management of the University of Pisa. I recived the Ph.D. degree in Statistics (XXVIII°cycle) from the University of Milano-Bicocca, under the main supervision of Prof. M. Giovanna Ranalli (University of Perugia). After about two years working outside the Academia, I enrolled in the Ph.D. program in Statistics because I missed studying and having fun with data. My main research interests lie in survey sampling, unplanned domain estimation, mixture and latent variable models. More recently, I have become interested in developing new statistical methods for the integration of data from different sources. Since 2015, I have been collaborating with ISTAT in research projects aimed at the methodological development of techniques used in the Institute, because I really believe in the power of Official Statistics in the growth-process of a country. I'm also interested in gender statistics as I believe that statistics has the duty to "fight" injustices and inequalities, too. You can find something more about me in my webpage
Alessia Caponera (2018-2019)
My name is Alessia Caponera and I am currently a Ph.D. student at the Department of Statistical Sciences at Sapienza University in Rome. I graduated in Statistics in 2016 after completing a double degree program managed by Sapienza University and Université Paris Dauphine. I am mostly interested in space-time spherical random fields and related topics, such as spectral representations, spherical wavelets and needlets, functional data analysis on the sphere. I also appreciate teaching Statistics and any form of knowledge sharing.
Leonardo Egidi (2018-2019)
I am Leonardo Egidi and I am currently working as postdoctoral researcher at the Department of Business, Economics, Mathematics and Statistics "Bruno de Finetti" of the University of Trieste. I got my PhD in Statistics at the Department of Statistical Sciences of the University of Padova in March 2018 with a thesis entitled "Developments in Bayesian Hierarchical Models and Prior Specification with Application to Analysis of Soccer Data". My research focuses on mixture models, prior specification, clustering methods and R package developement. Given my interest for sports, and football in particular, I enjoy in developing models for football data, and this gave me the opportunity to become a member of the AUEB Sports Analytics Group (University of Athens). I am currently teaching Statistical Methods to master's students. When I am not involved in Statistics, I am used to take the guitar and produce a mixture of noise and words. See my webpage.