Paris-Saclay Center for Data Science kick-off meeting

Session

Session 1

30 juin 2014, 10:10

Présidents de session

Session 1

• Alexandre Gramfort (Telecom ParisTech, CNRS)

2. Machine learning for personalized genomics

Jean-Philippe Vert (Mines ParisTech / Institut Curie)

30/06/2014 10:10

The rapid technological developments in biology, in particular of DNA sequencing technologies, allow us to collect large amounts of molecular data about the genome of each individual, and opens the possibility to predict drug response or evaluate the risk of various diseases from one's molecular identity. In this talk I will discuss some regularization-based approaches we have developed to...

8. Enhancing functional neuroimaging with meta-analytic approaches

Bertrand Thirion (INRIA / Neurospin)

30/06/2014 11:20

Functional brain imaging offers a unique view on brain functional organization, which is broadly characterized by two features: the segregation of brain territories into functionally specialized regions, and the integration of these regions into networks of coherent activity. Among other observation modalities, magnetic resonance imaging yields a spatially resolved, yet noisy view of this...

9. Data science in planetary science

Frédéric Schmidt (GEOPS / UPSud)

30/06/2014 11:45

Remote sensing is the major technique to study planetary environment in order to decipher the structure and evolution of solar system bodies. For a decade, spacecrafts have acquired high-resolution spectra, high-resolution images, hyperspectral images, and multi-angular hyperspectral images. The treatment of raw data to produce high level science results but also the visualization of the large...

6. Cosmology: from fundamental questions to computing challenges

Prof. Reza ANSARI (LAL-Univ.ParisSud , IN2P3-CNRS)

30/06/2014 12:10

The Big Bang cosmological model provides a powerful framework to describe the evolution of the Universe. Despite tremendous theoretical and observational progress in the field, profound mysteries such as the nature of dark matter and dark energy remain to be unveiled. After a brief introduction on cosmology, an overview of some of the large projects in astrophysics and cosmology in the next...