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Sergio Consoli

CFE-CMStatistics 2019

Biography

Sergio Consoli, Ph.D., is a Scientist and Project Leader at the European Commission, Joint Research Centre (JRC), in Ispra (Italy), working at the Competence Centre on Composite Indicators and Scoreboards (COIN), and, formerly, within the Centre for Advanced Studies on the project: Big data and forecasting of economic developments.

Sergio was previously a Senior Scientist (2016-2018) within the Data Science department at Philips Research, Eindhoven (NL), focusing on advancing automated analytical methods used to extract new knowledge from data for HealthTech applications. He also worked as Computer Engineering Officer at the Italian Presidency of the Council of Ministers (2015-2016), as Junior Researcher at the Semantic Technology Laboratory (STLab) at the National Research Council of Italy (2013-2015), as Postdoctoral Grantholder at the European Commission, Joint Research Centre (JRC) (2011-2013), and as ICT consultant at the Isab refinery, the largest oil refinery in the Mediterranean area (2009-2011).

Sergio has an M.Sc. degree in Computer Engineering from University of Catania (Sicily, 2005) and a Ph.D. in Operational Research from Brunel University (London, 2008), where he was an EU Marie Curie fellow on the project NET-ACE: Network Theory & Applications to Computing and Engineering.

Sergio's education and scientific experience fall in the areas of Data Science, Operational Research, Artificial Intelligence, Knowledge Engineering, Semantic Reasoning, and Machine Learning. He is author of several research publications in peer-reviewed international journals, granted EPO and WIPO patents (full list here), edited books, and leading conferences in the fields of his work.

He is an Associate Editor for IEEE Access and member of the Editorial Board of PLOS ONE and the Journal of Big Data. He is co-editor of the books:

S. Consoli, D. Reforgiato Recupero, and M. Petkovic (2019) Data Science for Healthcare: Methodologies and Applications, Springer Nature, Switzerland

S. Consoli, D. Reforgiato Recupero, and M. Saisana (2021) Data Science for Economics and Finance: Methodologies and Applications, Springer Nature, Switzerland.