Postdoc in Statistics

Copenhagen Causality Lab

Department of Mathematical Sciences, University of Copenhagen

My current research focuses on the problem of conditional independence testing for a variety of different data structures.

My research interests include developing new methods with theoretical guarantees and analysing current methods in the fields of causal inference, semi- and nonparametric statistics and non-euclidean statistics.

I am also interested in more foundational and philosophical problems in statistics and causal inference in particular.

I am supervised by Niklas Pfister. Previously, I did a PhD under the supervision of Rajen Shah and Richard Samworth at the Statistical Laboratory, University of Cambridge and a master's thesis under the supervision of Jonas Peters at the University of Copenhagen.

*Keywords:* statistics, theoretical statistics, conditional independence testing, causal inference, semiparametric statistics, nonparametric statistics, non-euclidean statistics

- Oct 2022: Started Postdoc at the University of Copenhagen.
- Aug 2022: New paper on arXiv: Confounder Selection: Objectives and Approaches.
- Jan 2021: First paper on arXiv: Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data.
- Dec 2020: Gave a talk at CMStatistics 2020 about upcoming work on conditional independence testing for functional data.
- Jan 2020: Started position as a PhD Student at the Unversity of Cambridge.