Emanuele Aliverti (2019-2021) - Coordinator
I am Emanuele Aliverti and I'm assistant professor of Statistics at the Department of Economics, University Ca' Foscari Venezia. I obtained my PhD in Statistics from the Department of Statistical Sciences of the University of Padova. The focus of my research is on developing and applying statistical methods for complex data. My main interests are scalable Bayesian inference and computational method to perform inference on rich dependence structures (e.g., tensors, networks, functions, contingency tables). See my webpage to find more about me!
Christian Capezza (2019-2021) - Secretary
I am a post-doc researcher at the University of Naples Federico II, where I also completed my PhD in Industrial Engineering (XXXII cycle) in April 2020, under the supervision of Biagio Palumbo and Antonio Lepore. My research interests regard interpretable statistical methods for the analysis of complex systems in the Industry 4.0. I am currently working on functional data analysis for ship fuel consumption monitoring and generalized additive models for electricity demand forecasting with smart meter data. During my PhD, I was visiting student at the Department of Statistical Sciences of the University of Padova during the academic year 2017-18, moreover I was visiting postgraduate research student at the School of Mathematics of the University of Bristol in March-September 2019, where I worked with Matteo Fasiolo and Simon N. Wood on generalized additive models.
Marta Catalano (2020-2022)
I am a postdoc researcher at University of Torino working with Pierpaolo De Blasi. My research targets Bayesian nonparametric models for complex data structures, with a particular focus on statistical applications of optimal transport and completely random measures.
Previously, I completed my PhD in Statistics at Bocconi University, under the supervision of Antonio Lijoi and Igor Prünster. I am currently involved in the Bayes Lab at the Bocconi Institute for Data Science and Analytics (BIDSA), where I coordinate a biweekly internal seminar series that brings together PhD students and faculty members. Moreover, I am member of the “de Castro” Statistics Initiative at Collegio Carlo Alberto and in the MIDAS Complex Data Modeling Research Network. More info on my webpage.
Carlo Cavicchia (2020-2022)
I am Carlo Cavicchia and I am an Assistant Professor at the Econometric Institute, Erasmus University Rotterdam. In February 2020 I obtained my PhD in Statistics at the Department of Statistical Sciences, Sapienza University of Rome. My research is focused on the methodological and computational aspects of data analysis. The best feeling is when I can use my knowledge to solve practical and real problems. I am currently working on latent variable models, unsupervised classification and model-based composite indicators. At present, I am teaching Data Science for Marketing Analytics at master’s level. For more info about me, see my webpage!
Augusto Fasano (2020-2022)
I am Augusto Fasano and I am currently a postdoc researcher at the University of Turin, under the supervision of Prof. M. Ruggiero. I am about to obtain my PhD in Statistics (XXXII cycle) from Bocconi University, where I was jointly advised by Profs. D. Durante and I. Prünster. Prior to the PhD experience, I also had the opportunity to work for almost two years in a multicultural environment at the European Central Bank, before coming back to more research-oriented tasks. Broadly speaking, my research interests lie at the intersection between mathematical statistics and machine learning, with a particular focus on Bayesian inference. In particular, I am working on Bayesian modelling and related computational methods, both exact (Monte Carlo, MCMC and sequential Monte Carlo) and approximate (Variational Inference). If you are interested, you can find out more at my personal page!