Johanna G. Nešlehová

Johanna G. Nešlehová is a Czech mathematical statistician who works in Canada at McGill University as a professor in the department of mathematics and statistics.[1] Her research interests include copulas, extreme value theory, multivariate statistics, and operational risk.[1][2]

Education and career

Nešlehová is originally from Prague, the daughter of painter Pavel Nešleha and art historian Mahulena Nešlehová.[2] She studied at the Charles University, the University of Hamburg, and the University of Oldenburg, earning a degree (vordiplom) from University of Hamburg in 1999, a master's degree (diplom) from the University of Hamburg in 2000, and a doctorate from the University of Oldenburg in 2004.[1] Her dissertation, Dependence of Non-continuous Random Variables, was supervised by Dietmar Pfeifer.[3]

After working as a postdoctoral researcher and Heinz Hopf Lecturer at ETH Zürich, she joined the McGill University faculty in 2009.[2]

Book

With Erhard Cramer, Nešlehová is the author of a German-language undergraduate textbook in introductory mathematics, Vorkurs Mathematik: Arbeitsbuch zum Studienbeginn in Bachelor-Studiengängen (Springer, 2005; 7th ed., 2018).[2][4]

Recognition

Nešlehová was named as an Elected Member of the International Statistical Institute in 2011.[1] In 2020 she was named a Fellow of the Institute of Mathematical Statistics.[1][5]

She was the 2019 winner of the CRM-SSC Prize in Statistics "for fundamental contributions to multivariate statistics, and in particular stochastic dependence modeling and extreme-value theory, and for her efforts to promote the sound application of statistics in risk management".[2]

References
  1. Johanna G. Nešlehová, McGill University, retrieved 2020-07-01
  2. Johanna Nešlehová, CRM-SSC Prize in Statistics 2019, Statistical Society of Canada, retrieved 2020-07-01
  3. Johanna G. Nešlehová at the Mathematics Genealogy Project
  4. Reviews of Vorkurs Mathematik: Roland Fahrion, 1st ed., Zbl 1092.00001; Katherine Roegner, 3rd ed., Zbl 1197.00004; Franz Lemmermeyer, 4th ed., Zbl 1177.00011
  5. Honored IMS Fellows, retrieved 2020-07-01
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