Alexandra Carpentier (born 1987)[1] is a French mathematical statistician and machine learning researcher[2] known for her work in stochastic optimization, compressed sensing, and multi-armed bandit problems. She works in Germany as a professor at Otto von Guericke University Magdeburg and head of the Mathematical Statistics & Machine Learning research group.[3]
Education and career
editAfter 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.[4]
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 her present position at Otto von Guericke University Magdeburg.[4]
Recognition
editCarpentier received the 2020 von Kaven Award of the German Research Foundation.[4]
References
edit- ^ Birth year from German National Library catalog entry, retrieved 2023-03-11
- ^ Schindlbeck, Corinne (30 June 2021), "Auszeichnung für Mathematikerin: Sie berechnet den Zufall", Elektroniknet (in German), retrieved 2023-03-11
- ^ "Prof. Dr. Alexandra Carpentier", Mathematical Statistics & Machine Learning, Otto von Guericke University Magdeburg, retrieved 2023-03-11
- ^ a b c Alexandra Carpentier wins the 2020 von Kaven Award, German Research Foundation, 16 September 2020, retrieved 2023-03-11 – via Eurekalert
External links
edit- Home page
- Alexandra Carpentier publications indexed by Google Scholar