- Professor of Statistics at the Department of Mathematics, Politecnico di Milano and member of MOX
Piercesare Secchi is Professor of Statistics at the Department of Mathematics, Politecnico di Milano and member of MOX, the departmental laboratory in modelling and scientific computing. He was born in Milano, Italy, in 1962. After the diploma in classical studies from the Liceo-Ginnasio “A. Manzoni” in Milano, in 1988 he received the Laurea cum Laude in Mathematics from the Università di Milano, in 1993 the Doctorate in Methodological Statistics from the Università di Trento and in 1995 the Ph.D. in Statistics from the University of Minnesota.
From 1991 to 1997 he has been Assistant Professor in Statistics at the Università di Pavia while from 1998 to 2004 he has been Associate Professor in Probability at the Politecnico di Milano, where he became Full Professor in Statistics in 2005. From 2009 to 2016 he served as Director of the Department of Mathematics of the Politecnico di Milano; from 2011 to 2016 he has been a member of the Academic Senate of Politecnico di Milano and the Rector’s delegate for clusters and consortia. His recent research interests focus on statistical methods for: object oriented spatial statistics, classification of complex data, functional data analysis, urn schemes for Bayesian statistics.
He is member of the Società Italiana di Statistica, of the Institute of Mathematical Statistics and of the American Statistical Association. He joined many different important research projects both privately and publicly funded. He coordinated the statistical unit within the Aneurisk Project, financed by Siemens Medical Solutions and Fondazione Politecnico, for the functional data analysis of inner carotid centrelines aiming at the evaluation of aneurysms rupture risk. He directed the research activity sponsored by the Italian Regulatory Authority for Electricity and Gas (AEEG) for the development of statistical models and methods aiming at quality of service evaluation and control in energy distribution. He has worked on different blue sky research projects financed by ENI at the Politecnico di Milano.
He contributes to the development of Urbanscope, a new macroscope for the analysis of the digital traces generated by urban systems. He is among the founders of Moxoff, a spin-off of the Politecnico di Milano; since 2010 Moxoff employs mathematics, statistical analysis, and advanced algorithms and software to develop scientific models for business. Since 2011 he is member of the board of MIP, the Business School of the Politecnico di Milano. He is also member of the board of CISE since 2013. In 2014 he co-founded Mathesia, a platform to create innovation through the application of mathematics to problems in the business world. In 2015 he became President of the European Center for Nanomedicine (CEN).
In 2017 he has been appointed coordinator for PoliMI of the Center for Analysis, Decision and Society of the Human Technopole research infrastructure. In the same year he was part of the expert team Casa Italia, the mission structure of the Italian Government dedicated to prevention and security against natural risks.
Genome regulatory networks have different layers and ways to modulate cellular processes, such as cell differentiation, proliferation, and adaptation to external stimuli. Transcription factors and other chromatin-associated proteins act as combinatorial protein complexes that control gene transcription. Thus, identifying functional interaction networks among these proteins is a fundamental task to understand the genome regulation framework.
Turning big data into smart data: two examples based on the analysis of the Mappa dei Rischi dei Comuni Italiani
The recently presented Mappa dei Rischi dei Comuni Italiani is a freely accessible web portal, implemented by ISTAT, which provides integrated data on different natural risks in Italian municipalities together with socio-economic and demographic data We here illustrate two paradigmatic examples where the big data of the Mappa are transformed into smart data using advanced […]
- 05/2018 - Statistics & Probability Letters
While discussing the plenary talk of Dunson (2016) at the 48th Scientific Meeting of the Italian Statistical Society, I formulated a few general questions on the role of statistics in the era of big data which stimulated an interesting debate. They are reported here with the aim of engaging a larger audience on an issue […]