Biography
I am an assistant professor of biostatistics in the Department of Public Health at the University of Copenhagen. My research centers on causal and statistical inference, with a particular focus on infinite-dimensional parameters and their applications to the study of common complex diseases. I am also affiliated with the SMARTbiomed Pioneer Center.
Previously, I was a postdoctoral fellow in the Department of Statistics at the University of Washington, where I worked with Alex Luedtke and Peter Gilbert on inference for local variable importance measures for heterogeneous treatment effects applied to evaluating the efficacy of infectious disease prevention strategies. During this time, I was also a UW Data Science postdoctoral fellow and a PIMS-Simons postdoctoral fellow.
I obtained my PhD in Statistical Data Analysis from Ghent University under the supervision of Johan Steen, Wim Van Biesen, and Stijn Vansteelandt. My doctoral research applied causal inference methods to determine the optimal timing of treatment initiation in critically ill patients using observational, routinely collected data.
I hold a degree in mathematics from ETH Zurich, where I specialized in statistical learning theory and mathematical finance. Beyond academia, I have served as a teaching assistant at the African Institute for Mathematical Sciences (AIMS South Africa) and worked as an actuary and a data scientist at a consulting company EY.
Research interests
- Causal inference
- Semiparametric theory
- Statistical machine learning
- Biostatistics
Education
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PhD in Statistical Data Analysis, 2023
Ghent University -
MSc in Mathematics, 2015
ETH Zurich -
BSc in Mathematics, 2014
ETH Zurich