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Brigitte Plateau

Brigitte Plateau
Alma mater University of Paris XI
Occupation computer scientist and university administrator

Brigitte Plateau is a French computer scientist. A former student of the École Normale Supérieure at Fontenay-aux-Roses majoring in Mathematics (option in Probability Theory), she is a Doctor of Information Studies. A University Professor at Grenoble Institute of Technology (Grenoble INP) since 1988, since February 2012 she has been the General Administrator of the Grenoble INP cluster.

Plateau is president of the AFDESRI (Association of Women Leaders of Higher Education, Research and Innovation) since September 2014 and Allistene (Alliance of the Digital Sciences and Technologies) since November 2014.

Born to a father who was an engineer and a mother who was a teacher, as a child of 7 or 8, Plateau enjoyed solving maths problems.

At the age of 18, Plateau had wanted to become a medical doctor, but her father advised against it. After studying at the École Normale Supérieure and Aggregation of Mathematics (), Brigitte Plateau submitted in 1980 a postgraduate thesis (DEA) in computer science at the University of Paris XI and in 1984, a state computer thesis. She became (fr) at the Centre national de la recherche scientifique (CNRS), then teaching as a visiting scholar at the University of Maryland in the United States. In 1988, she was appointed professor of universities in Grenoble Polytechnic Institute, assigned to Ensimag and to the laboratory of Computer Engineering. In 1999, she created the IT and distribution Laboratory (Grenoble INP-UJF-CNRS) that she ran until 2004. In January 2007 Plateau created the Grenoble Informatics Laboratory associated with the French Institute for Research in Computer Science and Automation (INRIA). As of 2014, Plateau was in charge of 500 computer scientists at the laboratory. Her research work is on the performance of computer systems, in particular distributed and parallel systems. She is studying queueing models, distributed algorithms and massively parallel computers (by simulation and observation). She is an expert in high speed calculations using massive parallelism.


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