Doctoral conference AI for The Sciences

The PSL DATA Program, in collaboration with PR[AI]RIE, is launching the first PSL Doctoral Conference AI for The Sciences. The aim of this conference is to gather together PhD students working at the interface of AI technologies and their own discipline (physics, biology, cognitive sciences, economics, etc.), or in core AI with a view towards applications.

It will be organized around four half-day sessions, each of them opened by an internationally-renowned researcher, followed by short talks (20 min + questions). There will be poster sessions presented by PhD students of PSL along with a social event organised in the evening of May the 15th.

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KEYNOTE SPEAKERS

Tom Charnock

Paris Institute of Astrophysics
Sorbonne University, CNRS
Bayesian deep learning for cosmology and gravitational waves

Patrick Gallinari

Institute of Intelligent Systems and Robotics (ISIR)
Sorbonne University, CNRS, INSERM
Physics Aware Deep Learning

Jérome Lang

Decision Support Systems Analysis and Modeling Laboratory
Dauphine - PSL, CNRS
From AI to Computational Social Choice

Philippe Nghe

Laboratory of Biophysics and Evolution
ESPCI Paris - PSL, CNRS
Generating self-reproducing RNAs

Program