Gesine Reinert
Gesine Reinert | |
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| Website | https://www.stats.ox.ac.uk/all-people/gesine-reinert/  |
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| Thesis | A weak law of large numbers for empirical measures via Stein's method, and applications |
| Doctoral advisor | Andrew Barbour |
| Doctoral students | Alastair Pickett, Nathanaël Benjamin, Kim-Huat Lim, Robert Edward Gaunt, Mikołaj Kasprzak |
Gesine Reinert is a 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 California, Los Angeles from 1994 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
- ^ Gesine Reinert, Department of Statistics, University of Oxford, retrieved 2017-02-08
- ^ Honored IMS Fellows, Institute of Mathematical Statistics, archived from the original on 2014-03-02, retrieved 2018-02-08
- ^ Lothaire, M. (2005), Applied combinatorics on words, Encyclopedia of Mathematics and Its Applications, vol. 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, Zbl 1133.68067
- ^ a b c Curriculum vitae (PDF), retrieved 2018-02-08
- ^ Gesine Reinert at the Mathematics Genealogy Project
External links
- Gesine Reinert publications indexed by Google Scholar