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Alexandra Carpentier
French mathematical statistician From Wikipedia, the free encyclopedia
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Alexandra Carpentier is a French mathematical statistician and machine learning researcher[1] known for her work in stochastic optimization, compressed sensing, and multi-armed bandit problems. She works in Germany as a professor at University of Potsdam and head of the Mathematical Statistics & Machine Learning research group.[2]
Education and career
After studying probability theory, statistics, and economics at Paris Diderot University and ENSAE Paris, Carpentier earned a doctorate in 2012 through research at the French Institute for Research in Computer Science and Automation (Inria) in Lille.[3]
She was a postdoctoral researcher at the University of Cambridge from 2012 through 2015, and then in 2015 became a professor at the University of Potsdam, funded through the Emmy Noether program of the German Research Foundation. In 2017 she moved to Otto von Guericke University Magdeburg.[3] Currently, she is a professor at the University of Potsdam.[2]
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Recognition
Carpentier received the 2020 von Kaven Award of the German Research Foundation.[3]
References
External links
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