|Thesis||A weak law of large numbers for empirical measures via Stein's method, and applications|
|Doctoral advisor||Andrew Barbour|
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, and a Fellow of the Institute of Mathematical Statistics. Her research concerns the probability theory and statistics of biological sequences and biological networks.
Reinert earned a diploma in mathematics from the University of Göttingen in 1989. 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.
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.
- Gesine Reinert, Department of Statistics, University of Oxford, retrieved 2017-02-08
- Honored IMS Fellows, Institute of Mathematical Statistics, retrieved 2018-02-08
- 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, Zbl 1133.68067
- Curriculum vitae (PDF), retrieved 2018-02-08
- Gesine Reinert at the Mathematics Genealogy Project