Ingegneria

I graduated from the University of Pisa with a Bachelor's degree in Biomedical Engineering and a Master's degree in Management Engineering. During my master thesis, driven by a strong curiosity, I approached the study of Data Mining and Machine Learning. Specifically, I used these techniques on a large dataset of Emergency Department visits to build predictive models of patient waiting times. I am currently a research fellow at the Department of Energy, Systems, Territory and Construction Engineering of the University if Pisa where I study predictive analytics applied in the healthcare field. I enrolled in the post graduate course in Big Data Analytics to improve my programming skills and explore the wide variety of techniques offered by Data Science.

Born in Lucca. I obtained the following qualifications at the University of Pisa: Degree in "Electronic Engineering" (1989) "Electronic Calculators" - 109/110, University Master in "Internet Technologies" (2005) Faculty of Engineering and CNR - High rating, University Master in "Development of Mobile Applications" (2012) Department of Computer Science - Excellent judgment with honors. I work at the research department of "Fabio Perini SpA" in Lucca, where I work on the subjects of "industrial automation" and "Industry 4.0". It prompted me to participate to the Master in "Big Data Analytics & Social Mining" the will to stay up to date and learn new technologies with particular reference to the techniques of "artificial intelligence" and "Machine Learning".

Born in Catania in 1986, Alessandro has a great passion for Computer Science and technology. He graduated cum laude in Computer Engineering Master's Degree at the University of Catania. Since 2010 he has worked as IT consultant for behalf of italian and international companies and startups. In 2015 he co-founded the startup WakaPic: an advanced photo manager that uses AI and cloud systems to catalog big photographic archives, with the aim to provide the user a smart-search experience based on: automatic and customized tag functions of their photos, natural language interaction, emotional classification. His main interests are: Cloud, Distributed Systems, AI and Big Data.
https://www.linkedin.com/in/alessandrodistefano/

Born in the province of Messina in 1987, she obtained a bachelor degree in Energy Engineering at the University of Palermo and a Master degree in Energy and Nuclear Engineering at the University of Bologna with a thesis on the characterization of nanofluids for the use in power transformers. In January 2018 she founded, with two of her best friends, AMV Idealab, the first innovative startup in the province of Messina that looks at smart cities and, through BOT technology, intends to promote the "smart" development of the territory. In this direction, since 2015, she is involved with the Association Smart Gioiosa.

Albertine Meroni was born in Varese in 1990, she graduated in Environmental Engineering at Politecnico di Milano with a thesis in the field of modeling for the dispersion of pollutants into the atmosphere. Moved by the desire to expand her skills she decides to undertake the master in Big Data at University of Pisa.

Born and raised in Siena. I completed my Master’s degree cum laude in Computer and Automation Engineering from the University of Siena in 2016, combined with one year at the Radboud University of Nijmegen (NL) studying Artificial Intelligence as an Erasmus postgraduate. After defending my thesis, a research done at IMPA - Instituto de Matemática Pura e Aplicada in Rio de Janeiro (BR) titled “Evolutionary game models for brain connectivity”, I started working in Turin as a software developer for industrial robots. Here my interest in the data analysis got started, as I furthermore joined a project regarding predictive maintenance for industrial machinery. I eventually applied to the Master in Big Data Analytics and Social Mining to broaden my knowledge of the Data Science, seeking to get an across the board picture of its large variety of purposes.
LinkedIn: https://www.linkedin.com/in/s-mattera/

Graduate of Computer Engineering at the University of Pisa where obtained both my Bachelor and Master’s degrees, and spent a year living and working in London as a Software Development Engineer. Joined the Research National Team of Pisa’s Social Sensing project in which the research activities deal with social media analysis e social media mining, social sensing, knowledge discovery, web mining e computational social science. Always looking to learn new things and enthusiastic and positive attitude when it comes to work and enjoy facing and overcoming the challenges that come with working in the IT industry.
Linkedin: https://www.linkedin.com/in/salvatorebellomo/

I earned my masters degree in Telecommunications Engineering at the University of Padua with a thesis completed in the research laboratories of Philips in Eindhoven based on self-learning algorithms for detection of electrical appliances. I started to be interested in data mining and data analysis, after a year working in Italy as software developer, I moved to Dublin. There I worked for three years in a start-up specialized in energy consumption analysis, performing various roles from the design of new algorithms to software development, including working in several European projects. Hence the interest in this master, to deepen my knowledge in data analysis and integrate it with my personal interest in social issues.

I am a young biomedical engineer, I founded a start-up called IMADROM which provides preclinical and clinical drugs development services, and where my actual position is software division manager. Once I completed my master’s degree at University of Pisa, my strong interest toward technological innovation led me to achieve a PhD Neuroscience. During my academic studies, I had the chance to do an internship for 1 year at Maastricht University, where I developed a groundbreaking biomolecular imaging technique, being able to perform in-depth analysis for cerebral metabolic maps via MRS (Magnetic Resonance Spectroscopy). In my professional activity, I have been working closely with hospitals and research centers, finding myself dealing with HTA themes (Health Technology Assessment). From this experience, I understood that being able to handle efficiently a high amount of heterogeneous and sensitive data is indeed crucial to support the decision process in this field.

Trilingual engineer, graduated with academic honours, in possession of an MBA from IESE Business School and a 10+ years of international professional experience as strategic consultant, project manager and entrepreneur. Examples of Data Science projects he had exposition to, include the census and segmentation of Italian Twitters users project, developed with the Big Data department at ISTAT; the design of a predictive statistical model to foresee raw material prices for the largest dairy products company in Spain; the foundation of a company that designs point of sales technological elements that detect patterns on in-store customers’ behaviour and enable retailers to formulate personalized marketing strategies.