Alessandro Spelta was born in Milan in 1986. After obtaining the Master Degree in Economics at the University of Pavia (110/110), he started his PhD in Economics. During the PhD (2010-2014), he discovered his passion for the computational approach to economics and finance and decided that data analysis was his field of interest. In 2014, he started his first PostDoc at the Catholic University of Milan working on two European projects on Early Warning Crisis for financial crisis: MACFINROBODS, Integrated Macro Financial Modeling for Robust Policy Design and RAstaNEWS, Macro-Risk Assessment and Stabilization Policies with New Early Warning Signals. Between 2016 and 2017, he worked as Big Data Analyst at OMNICOM MEDIA GROUP where he was involved in the development of Marketing Analytic Models that supports marketers to create data-driven marketing plans, specifically geared towards achieving business goals.
From 2016 to 2017, he was Post Doctoral researcher in Statistics at the University of Pavia. Here he focused on the development of a novel distress measure for banking systems, by adjusting CDS spreads of various banking systems with exposure to risk from other banking systems through a multi-layer network. Since January 2018, he has been involved in the research project of the Center for Analysis Decisions and Society of Human Trechnopole.