Gesine ReinertGesine 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] EducationReinert 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] CareerReinert 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
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