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Scientific Data Analysis School 2019

25–28 Nov 2019
Scuola Normale Superiore
Europe/Rome timezone

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Contribution List

22 / 22
50. Mathematical foundations of data science: statistics
Francesco Morandin
25/11/2019, 16:10
51. Numerical linear algebra techniques for data analysis
Michele Benzi (Professore ordinario presso la Classe di Scienze)
25/11/2019, 17:30
38. Data Analysis in Next Generation Sequencing
Dr Paolo Aretini (Fondazione Pisana per la Scienza ONLUS)
26/11/2019, 09:00
Lecture
Nanoscience
39. What can we learn from single particle tracking?
Stefano Luin
26/11/2019, 10:30
Lecture
Nanoscience
40. Dynamics and interactions of neurotrophin receptors in the membrane of living cells
Stefano Luin
26/11/2019, 11:30
Lecture
Nanoscience
41. Correlation spectroscopy in living cells: an introduction
Francesco Cardarelli (Prof. associato Classe di Scienze)
26/11/2019, 12:00
Lecture
Nanoscience
42. Analysis of microscopy movies with SimFCS
Francesco Cardarelli (Prof. associato Classe di Scienze)
26/11/2019, 14:00
Hands-on session
Nanoscience
43. Multidimensional transport measurements in semiconductor nanostructures
Dr Francesco Rossella (SNS)
26/11/2019, 15:30
Lecture
Nanoscience
44. Extracting information from multidimensional data
Domenic Prete (Prestazione occasionale NEST - ref. Dott. Francesco Rossella), Dr Francesco Rossella (SNS)
26/11/2019, 16:30
Hands-on session
Nanoscience
45. Scientific Data Analysis in Astrophysics
Simona Gallerani (SNS)
27/11/2019, 09:00
Lecture
Astrophysics
46. Exploration of 3D spectroscopy data (part 1)
Dr Stefano Carniani (SNS)
27/11/2019, 10:30
Hands-on session
Astrophysics
47. Exploration of 3D spectroscopy data (part 2)
Dr Stefano Carniani (SNS)
27/11/2019, 11:30
Hands-on session
Astrophysics
48. Machine Learning on Galaxy spectra
Dr Graziano Ucci (University of Groningen)
27/11/2019, 14:00
Hands-on session
Astrophysics
49. Synthetic spectra from galaxies in cosmological simulations
Dr Andrea Pallottini (Centro Fermi)
27/11/2019, 16:30
Hands-on session
Astrophysics
27. Social dinner
27/11/2019, 20:00
28. The Science of Data Science
Prof. Viviana Acquaviva (CUNY NYC College of Technology)
27/11/2019, 21:30
Lecture
Astrophysics
21. Computing for High Energy Physics experiments
Giuseppe Bagliesi
28/11/2019, 09:00
19. Machine Learning and Deep Neural Networks in (High Energy) Physics
Andrea Rizzi (University of Pisa and INFN)
28/11/2019, 11:30
16. ROOT: a HEP tool for data analysis
Lorenzo Bianchini (INFN Pisa)
28/11/2019, 14:00
Hands-on session
Particle Physics

Presentation of the ROOT tool and hands-on exercise
17. Machine Learning and b-tagging in CMS
Leonardo Giannini (INFN Pisa)
28/11/2019, 16:30
Hands-on session
Particle Physics
18. Concluding Remarks
Prof. Andrea Ferrara (SNS), Luigi Rolandi (Classe di Scienze Matematiche e Naturali)
28/11/2019, 18:00
Speech
29. Welcome Speech
Stefano Marmi
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