Biography:Gesine Reinert

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Short description: Mathematics professor
Gesine Reinert and Peter Eichelsbacher at the MFO, 2005

Gesine Reinert is a German statistician who is University Professor in Statistics at the University of Oxford. She is a Fellow of Keble College, Oxford, a Fellow of the Alan Turing Institute,[1] and a Fellow of the Institute of Mathematical Statistics.[2] Her research concerns the probability theory and statistics of biological sequences and biological networks.

Reinert has also been associated with the M. Lothaire pseudonymous mathematical collaboration on combinatorics on words.[3]

Education

Reinert earned a diploma in mathematics from the University of Göttingen in 1989.[4] She went on to graduate study in applied mathematics at the University of Zurich, completing her Ph.D. in 1994. Her dissertation, in probability theory, was A Weak Law of Large Numbers for Empirical Measures via Stein's Method, and Applications, and was supervised by Andrew Barbour.[4][5]

Career

Reinert worked as a lecturer at the University of Southern California from 1994 to 1996 and the University of California, Los Angeles from 1996 to 1998, and as a senior research fellow at King's College, Cambridge from 1998 to 2000. She joined the Oxford faculty in 2000, and was given a professorship there in 2004.[4]

References

  1. Gesine Reinert, Department of Statistics, University of Oxford, http://www.stats.ox.ac.uk/~reinert/, retrieved 2017-02-08 
  2. Honored IMS Fellows, Institute of Mathematical Statistics, http://www.imstat.org/awards/honored_fellows.htm, retrieved 2018-02-08 
  3. Lothaire, M. (2005), Applied combinatorics on words, Encyclopedia of Mathematics and Its Applications, 105, A collective work by Jean Berstel, Dominique Perrin, Maxime Crochemore, Eric Laporte, Mehryar Mohri, Nadia Pisanti, Marie-France Sagot, Gesine Reinert, Sophie Schbath, Michael Waterman, Philippe Jacquet, Wojciech Szpankowski, Dominique Poulalhon, Gilles Schaeffer, Roman Kolpakov, Gregory Koucherov, Jean-Paul Allouche and Valérie Berthé, Cambridge: Cambridge University Press, ISBN 0-521-84802-4, https://archive.org/details/appliedcombinato0000loth 
  4. 4.0 4.1 4.2 Curriculum vitae, 2016, http://www.stats.ox.ac.uk/wp-content/uploads/2018/08/Gesinecv2016-1.pdf, retrieved 2022-02-04 
  5. Gesine Reinert at the Mathematics Genealogy Project

External links