2018-2019

Paola Serrati' was born in 1988 in Lecce. She earned her master’s degree, with honors, in Comparative Modern Culture from the University of Turin. After some experiences in communications, she was the research manager of the "Sciascia and France" project, in association with the Arnoldo and Alberto Mondadori Foundation and Friends of Leonardo Sciascia Association. She’s specialized in creative writing, attending "Laura Lepri Scritture" courses at the Formentini Laboratory, in Milan. She has worked as a teacher of Literature and of the Italian for foreigners at high school and junior high school. She enrolled in Master of Big Data to develop her humanistic education with the skills and the innovative methods of Data Science.

I graduated in Archaeological Heritage at the University of Naples "L'Orientale" and continued my studies at the University of Pisa, obtaining in 2015 the Master's Degree in Archeology. During my academic career, I had two internship experiences in Sofia (Bulgaria) and Nicosia (Cyprus), where I had the opportunity to work in museums and research centers. Since 2015 I have been involved within a research laboratory, dealing with digitization of archaeological data. I decided to enroll in the Big Data Analytics and Social Mining Master to broaden my knowledge especially in the technical and scientific fields.

I am now enrolled in Nuovo Pignone (Baker & Hughes, a General Electric Company) as Test Data Analysis and Acquisition Engineer, operating in the R&D laboratory for the validation of new turbomachinery products and prototypes. My academic background is in Particle Physics. During my PhD within the CMS collaboration (CERN) I worked on data collected by the experiment to optimize the high level trigger tracking algorithms of the experiment and to perform statistical analysis to investigate about the presence of a high-mass Higgs boson. My one-year stay in CERN and in Geneva area is one of the most exciting experiences I had. https://www.linkedin.com/in/valentina-gori-8b077589/

I graduated from Law University. I am passionate about sports, travels and new technologies. I am a consultant in Privacy Law, in particular for enterprises active in the field of organised large-scale distribution, e-commerce and ICT. I decided to enrol for the Master in Big Data Analytics & Social Mining to acquire technical-scientific knowledge for the management and analysis of data, motivated by personal curiosity and desire for professional improvement. Previously, I attended the Google AdWords and Analytics courses and the ICE - Sole 24 Business School course in Export Management and Internationalization of SMEs. I did an 18-month internship in a law firm in civil and insurance area. I studied and worked abroad thanks to the Erasmus programme. LinkedIn: www.linkedin.com/in/alessandro-delia

I graduated in 2014 at the University of Pisa with a Master's Degree in Molecular and Industrial Biotechnologies with an experimental thesis on the role of a poplar protein in zinc tolerance processes in the field of phytoremediation of soils polluted by heavy metals. During my career I understood the importance of a multidisciplinary approach to problem solving and also the importance of data management and interpretation. The decision to enroll in the Master in Big Data Analytics & Social Mining derived from the desire to acquire skills in this area.

I obtained both my Bachelor's and Master's degree at the University of Siena (2012), and completed a PhD in Comparative Literature at the University of Pisa (2017). During my PhD, I have been visiting student at Universidad de Lisboa (2015) and at CUNY in New York (2016). Then, I obtained a position as Research Fellow at the University of Pisa (2017) and as Adjunct Professor of Comparative Literature at the University of Turin (2018-19). In recent years, I have started exploring issues in digital humanities. I believe that the changes generated by the digital revolution require the presence of scholars and professionals who know how to combine a scientific and IT preparation with a background in humanities

Barbara Ranghetti is 26 years old and was born and raised in Bergamo. She attended the Faculty of Physics at the University of Milan-Bicocca, getting a bachelor's degree with an experimental thesis conducted at the university's radioactivity lab, in the field of environmental applied physics. She graduated cum Laude at the same university in November 2018, with a thesis entitled "Characterization of neutron fluxes through neutron spectroscopy measurements", conducted at the university's radioactivity laboratory and at the ENEA research center (Casaccia , Rome). During the master's degree she begins to take interest in Big Data and decides to continue her studies by attending the Master's program, to expand her computer skills applied to data analysis.

After Liceo Classico, she enrolled in Economics and at the age of 24 she began her career in consulting offices getting Certification as Public Accountant (Commercialista). She spent a period in tax consultancy and financial analysis at leading offices in Milan, but over time she became interested in turnaround management and banking litigation. Thanks to her experience she understands the importance of a compliant management (/use) and statistical analysis of data, above all with strategic purpose. She chose to attend the Master to give added value to her proficencies, intending to learn advanced tools for data analysis and management.

I was born in Prato in 1993 and I studied mathematics at the universities of Bologna and Bonn. After two years spent in Germany I came back to Italy. I am interested in data science and its application to social sciences. Nothwithstanding, I am still interested in more abstract subjects as algebraic geometry and homotopy theory.

I studied Social Science at the University of Pisa and I have graduated in Sociology at the University of Milano-Bicocca. My thesis focuses on job search with public employment services. During my studies, it is increased my interest in statistics and data analysis. I decided to attend the Master in Big Data Analytics and Social Mining so as to learn new methods and thecniques which are very important for the study of contemporary society.