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French applied mathematician From Wikipedia, the free encyclopedia
Gabriel Peyré (born 1979)[1] is a French mathematician. Most of his work lies in the field of transportation theory. He is a CNRS senior researcher and a Professor in the mathematics and applications department of the École normale supérieure in Paris.[2] He was awarded the CNRS Silver Medal in 2021.[3]
Gabriel Peyré | |
---|---|
Nationality | French |
Awards | Blaise Pascal Prize (2017) of the Académie des sciences Enrico Magenes Prize (2019) of the Unione Matematica Italiana |
Scientific career | |
Fields | Applied mathematics |
Institutions | ENS and CNRS |
His work mainly focuses on applied mathematics, in particular on the imaging sciences and machine learning applications of optimal transport.[4]
Gabriel Peyré is also the deputy director of the 3IA Paris Artificial Intelligence Research Institute[5] as well as a member of the scientific committee of the ENS center for data science.[6] He is also the creator of the Numerical tour of data science,[7] a popular online repository of Python/Matlab/Julia/R resources to teach mathematical data sciences. He is a frequent collaborator of the INRIA team Mokaplan.[8]
Gabriel Peyré was awarded the Blaise Pascal Prize in 2017 from the Académie des sciences[9] as well as the Enrico Magenes Prize (2019) from the Unione Matematica Italiana.[10] He also was an invited speaker at the European Congress of Mathematics in 2020.[11] His research was supported by an ERC starting grant in 2012 and by an ERC consolidator grant in 2017.[12] In 2021, he was awarded the CNRS Silver Medal.[3]
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