Marloes MaathuisMarloes 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 careerMaathuis is originally from Groningen, the daughter of a physician. She studied applied mathematics at the Delft University of Technology, earning a bachelor's degree in 2001 and a master's degree in 2003.[2] Her master's program included travel to Ethiopia to study the lifetime risks of HIV-related deaths there.[3] 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] RecognitionMaathuis is a Fellow of the Institute of Mathematical Statistics,[5] elected in 2017.[2] In 2020, with Daniel Dadush, she won the Van Dantzig Award of the Netherlands Society for Statistics and Operations Research (VVSOR), "the highest Dutch award in statistics and operations research".[6] She is the 2021 winner of the Ethel Newbold Prize of the Bernoulli Society.[7] References
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