Fisica

Born in Rovigo in 1992, I obtained the Master’s degree in Physics at the University of Padua, with honors. I have discussed a thesis in Cosmology, combinig the theoretical and the computational aspects of this discipline to develop and prove the potentialities of a linear response function dealing with the non-linear effects acting on the evolution of the large-scale structure of the Universe at the baryon acoustic oscillations scales. I have always been attracted by the capability of data to reveal enlightening information if appropriately handled, leading to the solution of complex problems regarding different areas, from the business to the social and political ones, so I am attending this course to complete my formation, in order to acquire the knowledge needed to immerse myself in the Data Science world, to make of it the core of my future working activity.

Born in Aosta in 1991, in 2015 he obtained a Master’s Degree in Physics of Complex Systems at the Univerisity of Turin. He developed a thesis in computational biology, studying the distribution of some functional genomic elements along the human genome. Shortly after the graduation, he started working as a patent analyst at the Italian Institute of Technology in Genoa, where he could gain experience in areas like the patentability of inventions, intellectual property and technology transfer. He decided to attend the Master in Big Data Analytics & Social Mining to reinforce and improve his knowledge in the fields of computer science and data analysis.

My name is Luca Costanzo and I live in Prato. I have earned a master's degree in Matter Physics from University of Florence and then a PhD at the European Laboratory for Non-Linear Spectroscopy (LENS). Currently I'm a post-doc at the National Institute of Optics (INO-CNR).

Bachelor's Degree in Physics, Master's Degree in Statistics for Information Systems and Master's Degree in Technological Innovation and Design for Urban Systems. During the Master's degree thesis I developed a geomarketing analysis aimed at creating a ranking of points of sale through the creation of a composite indicator able to describe the level of competitiveness. The economic potential has been evaluated in terms of purchasing capacity of the resident population in the catchment areas of each point of sale and of the specific characteristics, both of the point of sale itself and of the urban context interior of which was located. The information related to each of the territorial areas has been reconstructed based on the results of the Population Census for census sections and the type of land. Finally the registration to the Tim Big Data Challenge 2015 which gave me the opportunity to work with the data relating to the telephone cells.

After the laurea degree in Physics at the University of Pisa, I spent a short working period in Italy and in the United States followed by a long and interesting multidisciplinary experience abroad, mainly in Belgium, Luxembourg, Netherlands and France. This allowed me to participate to the ESA projects (European Space Agency) as well as in the research initiatives funded by the European Commission. Later, I worked as an official at the Directorate General Research of the European Commission and recently at the Representation of the Tuscany Region in Brussels as policy officer. This experience, developed in public and private sectors, give me the opportunity to appreciate the potential of Big Data that can be expressed in almost all fields of our knowledge paving the way to new rich entrepreneurial projects and to scientific cooperation at European level.

He was born in Padua (Italy) in 1992. He obtained his master’s degree with honors in physics at the University of Padua in 2016. He wrote a theoretical thesis on cosmic inflation. In particular, he studied the observable predictions, i.e. the statistical properties of the Cosmic Microwave Background, of some inflationary models recently proposed in the context of supergravity theories. He has always been interested in mathematics and computer science and, during the years spent at university, he has discovered the promising profession of data scientist. Finally, he has decided to attend this postgraduate course to supplement his previous studies. https://www.linkedin.com/in/dm-bianco/