Marloes Maathuis
Marloes Henriette Maathuis (born 1978)[1] is a Dutch statistician known for her work on causal inference using graphical models, particularly in high-dimensional data from applications in biology and epidemiology. She is a professor of statistics at ETH Zurich in Switzerland.
Education and career
Maathuis is originally from
With the assistance of Delft University professor Piet Groeneboom, Maathuis traveled to the University of Washington to work with Jon A. Wellner and complete her master's thesis.[3] She stayed at the University of Washington for Ph.D. in statistics, completed in 2006, and then for an additional year as an acting assistant professor.[2] Her doctoral dissertation, Nonparametric Estimation for Current Status Data with Competing Risks, was jointly supervised by Groeneboom and Wellner.[4]
She joined ETH Zurich as an untenured assistant professor of applied mathematics in 2007. In 2013, following the creation of a professorship in statistics at ETH Zurich, she was named an associate professor of statistics, as an early replacement for a retiring professor. She was promoted to full professor in 2016.[3][2]
Recognition
Maathuis is a Fellow of the
References
- ^ Birth year from Library of Congress catalog entry, retrieved 2022-07-16
- ^ a b c d Curriculum vitae (PDF), retrieved 2022-07-16
- ^ ISBN 9780128125502
- ^ Marloes Maathuis at the Mathematics Genealogy Project
- ^ Honored IMS Fellows, Institute of Mathematical Statistics, retrieved 2022-07-16
- ^ Marloes Maathuis: Van Dantzig Award, ETH Zurich, 18 March 2020, retrieved 2022-07-16
- ^ Marloes Maathius receives the 2021 Ethel Newbold Prize, University of Washington Department of Statistics, 26 July 2021, retrieved 2022-07-16
External links
- Home page
- Marloes Maathuis publications indexed by Google Scholar