2018-2019

I graduated in 2010 at the Ural Federal University of Ekaterinburg, Russia as Nuclear Engineer, with a specialization in Radiation Protection of Human and Environment. In my third year at university I became interested in economic disciplines, so I undergraduated in Economics and Business Administration, in parallel with the main course. After the graduation I started to work for the Russian federal enterprise «Rosatom», which is responsible for the whole cycle of treating and accounting radioactive waste. As an engineer of management and control, I was responsible for collecting data for the Russian Federation database of radioactive waste, with further use of these datasets for analysis and statistical studies.

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".

She graduated in Biology with maximum scores in 2014 at Pisa University, where she obtained the International PhD in Biology with honors in 2018. She was involved in two different European projects aimed to transfer know-how between universities, where she carried out her research on microbial ecology and evolution. She is author of 7 scientific publications and was speaker at many international scientific congresses. She has also teaching experience as assistant, and Adjunct Professor for several zoological and molecular courses. Now she is Research Fellow at the Department of Biology of Pisa, and she deals with the study of microbial communities using innovative NGS techniques. Her interest in bioinformatics has been the trigger to enroll the Master for acquire new informatic instruments to analyze Big Data.

I look for a compass to navigate in a stormy sea

Born in Rome and raised in Abruzzo, I have been living in Bologna for a long time now. I have received my master’s degree in Computer Science from the University of Pisa, and I have worked in the last 18 years as software architect / developer for Prometeia s.p.a. At Prometeia, I mainly dealt with implementation of financial risk management software (Asset & Liability Management – Market Risk) and management of teams composed of developers and analysts in regulatory projects (Basel III – IFRS9/IFRS13 accounting) with special attention to critical optimization and fast data processing topics. Always computer science and new technologies enthusiast, I decided to attend the Master in Big Data Analytics and Social Mining to be part of what I believe is one of the most exciting revolutions in the field of information technology in recent years.