INFN School of Statistics 2019


The fourth edition of INFN School of Statistics will be held from 2nd to 7th of June 2019 in Paestum, a city founded by Greeks in Southern Italy around 600 BC, renown for the archeological park with three very well preserved Doric temples, and its archeological museum.The INFN School Of Statistics intends to provide an overview of statistical methods and tools used in particle, astro-particle and nuclear physics and is targeted towards physicists interested in data analysis ranging from PhD students to senior physicists willing to extend their knowledge and skills in the field of statistical methods.

The scientific programme covers a wide range of topics, from an introduction to probability and statistics, to advanced methods for hypothesis testing, interval estimation and tools for discovery, and multivariate analysis, including machine learning with artificial neural networks and deep learning.

Six international experts will give lectures during this edition of the school:

  • Glen Cowan, Royal Holloway, University of London
  • Sergei Gleyzer, University of Florida
  • Eilam Gross, Weizmann Institute of Science
  • Mario Pelliccioni, INFN Torino
  • Harrison Prosper, Florida State University, Tallahassee
  • Aldo Solari, University of Padova

Registrations are open until April 14th.

Pangea Formazione INSIGHTS @ Rome

Hi all, 
here is a first short overview of the only private beneficiary of the INSIGHTS ITN: Pangea Formazione, a SME with base in Rome (PangeaF in the following).

Pangea Formazione S.r.l.(Rome, Italy)
founded in 2009
innovative SME    
research institute recognized by  
certified UNI EN ISO 9001:2015 (development of informatic tools for predictive models)
team formed by around 15 persons, mostly with a background and a Ph.D. in quantitative sciences (Physics, Mathematics, Engineering, etc.)

PangeaF was created in 2009, on initiative of Paolo Agnoli and Francesco Piccolo, its charter members, to the purpose of promoting and spreading the importance of exploiting available data as a support to business decision making.

At the beginning, training courses were PangeaF’s main trademark, to encourage the use of appropriate statistical tools to deal with the uncertainties that are naturally embedded in business decisions. To this aim, PangeaF created a network of connections and collaborations with several researchers at universities in Rome, Milan, Venice, Naples and Pavia. During this period, managers from private companies and public institutions who attended such courses asked PangeaF for a practical application to their own real business problems of the techniques that were presented. Those studies shortly evolved in activities of modeling algorithms and software development which nowadays constitutes the core business of the company.

As of 2019, PangeaF has several active projects of software development and management consulting with different companies such as TIM, Poste Italiane, DHL, MBDA, ENEL, etc., while retaining important training activities on both data-driven decision making (higher level courses for top and middle managers) and machine learning techniques through open source languages like R, Python and Scala (technical courses for data scientists and IT personnel). Helping other companies to use their own data, as well as open data sources, to improve their decision making processes is still our main mission and both software development and training activity are the means to reach it effectively.

A third way to accomplish our mission is devoting efforts to develop brand new algorithmic and software solutions for problems which we believe will be soon relevant for business processes. This led our company to spend time and resources on advanced R&D activities, including development of optimal control strategies for swarms of drones with a common objective and of deep learning techniques to analyze video data sources to detect and classify objects of interest. While performing such researches, we created new connections with researchers from the academic world where similar problems are studied and we realized there were plenty of opportunities for training young researchers, with an interest in applied data analysis techniques, on such topics. This was the link that brought PangeaF in the orbit of INSIGHTS, while it was still a preliminary proposal for an EC training network, and made our company the natural choice as responsible for the work package on “Statistics for Society”. 

Of course, we are very happy for the opportunity to join the ITN: thanks to INSIGHTS ITN, we now have a new member of our team, Daria Morozova. Our ESR has moved from Moscow to Rome on September 2018 to work on her INSIGHTS project: developing a common framework to integrate video and sound data analysis techniques towards different goals. We foresee that such a framework will be useful for applications like smart mobility and coordinated drone control, but there is plenty of other fields that could benefit of a similar tool. Once all the building blocks will be in place, and it will become easier to stack together pre-trained deep learning networks with customized ones and with Bayesian networks, we will be able to start playing with it in different contexts and see how everything plays out.

Daria Morozova
  • ESR
  • Specialist (5 yrs) in Applied Mathematics and Cybernetics at MSU (Moscow, Russia)
  • Master in Economics at HSE University (Moscow, Russia)
  • At PangeaF since 09/2018.
Fabio S. Priuli
  • Supervisor and PI
  • Ph.D. in mathematics at SISSA-ISAS (Trieste, Italy)
  • 8 years as post-doc in applied math
  • At PangeaF since 04/2015 as data scientist, project manager and head of training activities.
Sara Borroni
  • Co-Supervisor
  • Ph.D. in physics at University of Rome “Sapienza” (Rome, Italy)
  • 4 years as post-doc
  • 4 yeas as data scientist and project manager
  • At PangeaF since 03/2015.

For the moment, that’s all.
More posts will follow soon presenting some of the exciting machine learning applications we developed for industry process management, and some of the latest statistical techniques that we experienced as very useful in such context.

University of Edinburgh

Welcome to the home of the Higgs boson inventor and Nobel prize winner Peter Higgs.

Edinburgh is the capital of Scotland and a very nice place to live, especially if you prefer rugby over football and you will find the Scots to be friendly and welcoming, although sometimes you may struggle to understand them. The city has all services you may need including theatres, cinemas, independent restaurants, and much more. The public transport will take you anywhere including to the airport that connects the city to many major cities in Europe and beyond. We even have a direct flight to Geneva!

The University is a major player in the city recent development making a strong effort in creating new connections between academia and industries. The recently open Bayes Centre is a new building in the town campus that will enhance the capabilities of the University to develop multidisciplinary projects centred on the use of advanced statistical tools in a variety of fields. Why does this sound familiar? Ah, yes, that’s what we do!

The University has several campuses as it could no longer be hosted in the city centre.  Actually, the School of Physics and Astronomy is based in the King’s Building campus which is located 20 minutes by bus from the city centre. The campus hosts many schools and departments; we are in the James Clark Maxwell Building (JCMB). The school is formed of 3 institutes and 5 research centres including the Higgs centre of Theoretical Physics. We are part of the Institute for Particle and Nuclear Physics, which is itself divided into 3 research group (Nuclear physics, Particle Physics experiments and Particle Physics theory). The ATLAS experiment is part of the Particle Physics experiments group and is formed by 3 academic staff (soon to be 5), 6 researchers and 7 PhD students.

The group, unsurprisingly, focuses its effort on the measurements of the Higgs boson but we now have also activities in the Exotic group and in the Top group of the ATLAS experiment. Our technical contribution is mainly based on the development of the Simulation, with a focus on fast simulation, and on Trigger activities.

Serena Palazzo, our ESR, will mainly work on differential cross-section measurements of top pair production. In line with the group activities, she will also work on fast simulation, but she will give a Machine Learning spin to it. We will use the ever more popular GANs to speed up the ATLAS simulation by several orders of magnitude. Serena will also have a significant period of secondments in companies working with financial data that she will use to improve fraud detection techniques.

Stay tuned for more updates from us!

INSIGHTS ITN Blog – Post Zero

by Tommaso Dorigo

As a coordinator of the outreach work package of the INSIGHTS EU ITN, I welcome you to this blog! To address the chance that you casually come by, I feel I need to explain from the outset what a EU ITN is, and what we are in particular.

The European Commission has a program called Horizon2020 within which several initiatives have been funded to foster research, innovation, and training to improve our society. In particular one of these initiatives is called “Marie Curie Actions”. Within these actions the ITN (for “innovative training networks”) is a scheme Continue reading “INSIGHTS ITN Blog – Post Zero”