Data Science Colloquium


of the ENS

Welcome to the Data Science Colloquium of the ENS.

This colloquium is organized around data sciences in a broad sense with the goal of bringing together researchers with diverse backgrounds (including for instance mathematics, computer science, physics, chemistry and neuroscience) but a common interest in dealing with large scale or high dimensional data.

The colloquium is followed by an open buffet around which participants can meet and discuss collaborations.

These seminars are made possible by the support of the CFM-ENS Chair “Modèles et Sciences des Données.

You can check the list of the next seminars below and the list of past seminars.

Videos of some of the past seminars are available online.

Organizers

The colloquium is organized by:

Next seminars

Thurs. Dec. 9th, 2021, 12h-13h, (Paris time), room Amphi Jaures (29 Rue d'Ulm).
Brice Ménard (John Hopkins University)
Title: Data science and science with data
Abstract: The young field of Machine learning has changed the ways we interact with data and neural networks have made us appreciate the potential of working with millions of parameters. Interestingly, the vast majority of scientific discoveries today are not based on these new techniques. I will discuss the contrast between these two regimes and I will show how an intermediate approach, i.e. neural network inspired but mathematically defined statistics (scattering and phase harmonic transforms), can provide the long-awaited tools in scientific research. I will illustrate these points using astrophysics as an example.