Scientific Data Analysis School 2019

25 Nov 2019, 09:00 → 28 Nov 2019, 19:30 Europe/Rome

Scuola Normale Superiore

The school on Scientific Data Analysis will be held at Scuola Normale Superiore on November 25-28, 2019. It is addressed to SNS PhD students interested in the theory and applications of Data Science in Physics (in particular Astrophysics, Biophysics, Condensed Matter, Particle Physics). It consists of a series of lectures given by leading scientists in the field, that will provide a comprehensive review on the most common techniques for data analysis (acquisition, mining, handling, visualization), including Artificial Intelligence (e.g. Machine Learning, Neural Network). The school aims at encouraging cross-disciplinary discussions between participants and speakers, and prompting joint research activities. The school on Scientific Data Analysis is sponsored by the italian Ministry of Education, University and scientific Research (MIUR) in the context of the venture “Departments of Excellence”. The number of participants is limited to 25. A brief statement of research interests is required for the application. Special attention will be given to applications from first and second year students, seeking balance among different scientific areas of the SNS. The deadline for application is November 15, 2019.

Monday, 25 November

16:10 → 19:00 Introductory Lectures

16:10 Mathematical foundations of data science: statistics

Speaker: Francesco Morandin

Statistics for data science Morandin.pptx

17:30 Numerical linear algebra techniques for data analysis

Speaker: Michele Benzi (Professore ordinario presso la Classe di Scienze)

scidata.pdf

19:00 → 21:00 Welcome Cocktail

Tuesday, 26 November

09:00 → 11:00 Nanoscience

09:00 Data Analysis in Next Generation Sequencing

Speaker: Dr Paolo Aretini (Fondazione Pisana per la Scienza ONLUS)

AretiniLesson-26-11-2019.pptx

10:30 What can we learn from single particle tracking?

Speaker: Stefano Luin

What can we learn from single particle tracking?

11:00 → 11:30 Coffee Break

11:30 → 13:00 Nanoscience

11:30 Dynamics and interactions of neurotrophin receptors in the membrane of living cells

Speaker: Stefano Luin

Dynamics and interactions of neurotrophin receptors in the membrane of living cells

12:00 Correlation spectroscopy in living cells: an introduction

Speaker: Francesco Cardarelli (Prof. associato Classe di Scienze)

Cardarelli.pptx

13:00 → 14:00 Lunch Break

14:00 → 16:00 Nanoscience: Theory and Hands-On

14:00 Analysis of microscopy movies with SimFCS

Speaker: Francesco Cardarelli (Prof. associato Classe di Scienze)

15:30 Multidimensional transport measurements in semiconductor nanostructures

Speaker: Dr Francesco Rossella (SNS)

16:00 → 16:30 Coffee Break

16:30 → 18:30 Nanoscience: hands-on session

16:30 Extracting information from multidimensional data

Speakers: Domenic Prete (Prestazione occasionale NEST - ref. Dott. Francesco Rossella), Dr Francesco Rossella (SNS)

Wednesday, 27 November

09:00 → 11:00 Astrophysics

09:00 Scientific Data Analysis in Astrophysics

Speaker: Simona Gallerani (SNS)

Gallerani_SDA_forPDF.pdf

10:30 Exploration of 3D spectroscopy data (part 1)

Speaker: Dr Stefano Carniani (SNS)

Data_analysis_class_carniani_web.pdf

11:00 → 11:30 Coffee Break

11:30 → 13:00 Astrophysics

11:30 Exploration of 3D spectroscopy data (part 2)

Speaker: Dr Stefano Carniani (SNS)

13:00 → 14:00 Lunch Break

14:00 → 16:00 Astrophysics

14:00 Machine Learning on Galaxy spectra

Speaker: Dr Graziano Ucci (University of Groningen)

lecture_ml_graziano_ucci.pdf

16:00 → 16:30 Coffee Break

16:30 → 18:30 Astrophysics

16:30 Synthetic spectra from galaxies in cosmological simulations

Speaker: Dr Andrea Pallottini (Centro Fermi)

pallottini_handson_reference.pdf

pallottini_presentation.pdf

20:00 → 21:30 Social dinner

21:30 → 22:30 Astrophysics: Post-dinner speech

21:30 The Science of Data Science

Speaker: Prof. Viviana Acquaviva (CUNY NYC College of Technology)

Pisa_DS_School.pdf

Thursday, 28 November

09:00 → 11:00 Particle Physics

09:00 Computing for High Energy Physics experiments

Speaker: Giuseppe Bagliesi

Computing-HEP-sns.pdf

11:00 → 11:30 Coffee Break

11:30 → 13:00 Particle Physics

11:30 Machine Learning and Deep Neural Networks in (High Energy) Physics

Speaker: Andrea Rizzi (University of Pisa and INFN)

SNS - Machine Learning (2).pdf

13:00 → 14:00 Lunch Break

14:00 → 16:00 Particle Physics: hands-on session

14:00 ROOT: a HEP tool for data analysis

Presentation of the ROOT tool and hands-on exercise

Speaker: Lorenzo Bianchini (INFN Pisa)

ROOT.pdf

16:00 → 16:30 Coffee Break

16:30 → 18:00 Particle Physics

16:30 Machine Learning and b-tagging in CMS

Speaker: Leonardo Giannini (INFN Pisa)

Machine Learning and b-tagging in CMS.pdf

18:00 → 18:30 Concluding Remarks

Speakers: Prof. Andrea Ferrara (SNS), Luigi Rolandi (Classe di Scienze Matematiche e Naturali)