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Information, Inference, Networks: from Statistical Physics to Big Biological Data

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Next student seminar :
Access to the program

Here you can find information about your internships:
Experimental Internship - Undergraduate program
Master ICFP first year Internship

News : ICFP Research seminars
November 14 - 18, 2022 :

All information about the program

Contact us - Student support and Graduate School office :
Tél : 01 44 32 35 60
enseignement@phys.ens.fr

Faculty : Rémi Monasson

Tutor :

ECTS credits : 3

Language of instruction :

Description :

Today’s science is characterized by an ever-increasing amount of available data, in particular in biology, but also in other fields closely related to physics, such as material science. How can we exploit those data to design accurate models of the underlying, complex, strongly non-homogeneous and interacting systems?

The objective of this course is two-fold:
(1) provide statistical physics and inference concepts and methods to answer this question,
(2) apply those tools concretely to various biological data, coming from neurobiology, genomics, ecology, ...

Quick links

Next student seminar :
Access to the program

Here you can find information about your internships:
Experimental Internship - Undergraduate program
Master ICFP first year Internship

News : ICFP Research seminars
November 14 - 18, 2022 :

All information about the program

Contact us - Student support and Graduate School office :
Tél : 01 44 32 35 60
enseignement@phys.ens.fr