Hello everybody. In this page I summarize my working activity (research, teaching, etc...) as a statistician in Academia.  In each section you may also find some art pills: I hope you enjoy!

ANALYTICS

H-index: 13 (Google Scholar), 7 (Scopus)

i10-index: 15 (Google Scholar)

Citations: 367 (Google Scholar), 255 (ResearchGate), 148 (Scopus)

 

CURRICULUM VITAE

Currently, I'm Assistant Professor (RTD-B) in Statistics for Experimental and Technological Research (SECS-S/02) at the Department of Economics at the University of Bergamo.

I did my Bachelor and my Master in Statistics at the Department of Statistical Sciences "P. Fortunati" - University of Bologna, and I obtained there, in 2013, a Phd in Statistical Methodology for the Scientific Research.

In the past, I served Università of Salerno (Assistant Professor, July 2019 - July 2022), University of Brescia (Post-Doc, Lug 2016 - Giu-2019), S.Anna Pisa (Post-Doc, Sep 2015 - Jul 2016) and IMT School for Advanced Studies (Post-Doc, Jun 2013 - Sept 2015).

 

RESEARCH:

Those are my fields or research:

1. Spatial econometric and statistical methods for origin-destination and georeferenced data;
2. Statistical modelling for high-dimensional binary data with spatial dependence, with special regard to variables selection;
3. Sports statistics and data analytics (with special regards to basketball).

I have published in several international journals, such as: AStA Advances in Statistical Analysis, Journal of Applied Statistics, Annals of Operations Research (2 times), Social Indicator Research, PlosOne, Physica A, Journal of Quantitative Analysis in Sports, Electronic Journal of Applied Statistical Analysis, Statistics & Applications, Econometrics, The World Economy, Advances in Water Resources, Economia Politica, Natural Hazards and Earth System Sciences

 

TEACHING:

2022/23:

- Statistica (72 hours, 9 credits) - University of Bergamo  (UNIBG) - Dipartimento di Ingegneria Gestionale, dell'Informazione e della Produzione - LT Informatics Engineering (with Alessandro Fassò)

Statistica (48 hours, 6 credits) - University of Bergamo  (UNIBG) - Dipartimento di Ingegneria e Scienze Applicate - LT Mechanical Engineering (with Valeria Caviezel)

2021/2022:

- Regression models and Panel data (8 hours) - Doctoral short course for XXXVII cycle - Big Data Management (BIDAMA) - University of Salerno (UNISA)

- Statistica (60 hours, 10 credits) - University of Salerno (UNISA) - DIpartimento di Scienze Aziendali, Management & Innovation Systems (DISA-MIS)

 

 

PERSONAL PAGES: