2016-2017

Di Minin Alberto

I am an Associate Professor of Management at the Scuola Superiore Sant'Anna in Pisa. I am also Research Fellow with the Berkeley Roundtable on the International Economy (BRIE), University of California – Berkeley and Social Innovation Fellow with the Meridian International Center of Washington, DC. I am currently the Italian Representative on the SMEs & Access to Finance Programme Committee, for Horizon 2020, with the European Commission.

English

Data Science for Quantitive Finance

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Teachers: 
Academic Year: 
Description: 

The course presents the main elements for understanding financial markets, their structure, and technological infrastructure. Specifically, the course provides a background on basic empirical modeling of financial time series, from low to ultrahigh frequency, identifying the key data science aspects including data storage, latency, high dimensional inference, etc. It also covers semantic analysis of texts from news feed and social networks for financial forecasting.

Fadda Daniele

Daniele Fadda, born in Milan on 10.05.81. He graduated at Density Design LAB at the School of Design - Politecnico di Milano. He is now a freelance designer coordinating projects about promotion and territorial storytelling for the municipality of Pisa and Città della Pieve (PG). He worked on the visual representation of complex systems, data visualization, especially regarding the transport infrastructures and he collaborated with several architects as communication consultant. In the spare time, he works as graphic designer for the monthly press Seconda Cronaca.

English

Trani Salvatore

Salvatore Trani got his master degree at the Computer Science Department of the University of Pisa in 2013. He then started a collaboration with the Istituto di Scienza e Tecnologie dell'Informazione (ISTI) "A. Faedo" of the Consiglio Nazionale delle Ricerche (CNR) in Pisa. The collaboration continued also during his PhD course at the PhD school of Computer Science of the University of Pisa. In 2016 he submitted his PhD thesis titled "Improving Efficiency and Effectiveness of Document Understanding in Web Search". Currently he is a research fellow at ISTI-CNR.

English

Guidotti Riccardo

Riccardo Guidotti was born in 1988 in Pitigliano (GR) Italy. He graduated cum laude in Computer Science in 2013, at University of Pisa. He discussed hi thesis on Mobility Ranking: Human Mobility Analysis using Ranking Measures. He started the Ph.D. in Computer Science at the School for Graduate Studies "Galileo Galilei", (University of Pisa) in November 2013. He is currently a member of Knowledge Discovery and Delivery Laboratory. His interests regard Individual Data Mining, Mobility Data Analysis, Economic Data Analysis and Complex Network Analysis.

English

Cornolti Marco

Research Assistant at the University of Pisa, where he got a Master's Degree and Ph.D. in Computer Science. He is part of the Advanced Algorithms and Applications (Acube Lab) research group. He had collaborations with Google, NEC and the University of Munich. His research interests span across Natural Language Understanding, the semantic representation of text, Information Retrieval and Information Extraction, plus anything in between.

English

Pratesi Francesca

Francesca Pratesi received the MS degree in computer science from Pisa University, Italy, in 2013. She is a PhD student at the Computer Science Department of University of Pisa since November 2013 and a member of the Knowledge Discovery and Data Mining Lab, a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. Her research interests include data mining, data privacy and spatio-temporal data analysis.

English

Baroni Alessandro

Alessandro Baroni was born in 1984 in Italy, and holds a Master Degree in Business Informatics (Computer Science). He is currently a Ph.D. student in Computer Science. His current research interests are in data mining and particularly in social science.

English

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