Jun 2025

New preprint 🎉 “Instrumental Variable Estimation of Distributional Causal Effects” in collaboration with Niklas Pfister. Code is available on GitHub.

Apr 2024

New paper 🎉 “Estimating Conditional Distributions with Neural Networks using R package deeptrafo ” got accepted for publication in the Journal of Statistical Software. Software is available on CRAN.

Mar 2024

I started my new role as assistant professor of statistics at the Institute for Statistics and Mathematics of the Vienna University for Economics and Business.

Feb 2024

New preprint 🎉 “Algorithmagnostic significance testing in supervised learning with multimodal data” in collaboration with Anton Rask Lundborg. The corresponding comets R package is available on GitHub and CRAN.

Sep 2023

New preprint 🎉 “Modelbased causal feature selection for general response types” in collaboration with Sorawit Saengkyongam, Anton Rask Lundborg, Torsten Hothorn and Jonas Peters. Software implementing our method is available as an R package (tramicp on GitHub and on CRAN).

Feb 2023

I successfully defended my PhD thesis titled “Deep Learning and Causal Inference with Transformation Models”.

Jan 2024

I acquired a postdoctoral mobility grant from the Swiss National Science Foundation for my proposal on Distributional Instrumental Variables Estimation (DIVE). During the fellowship, I will be working with Niklas Pfister and Jonas Peters at the University of Copenhagen, starting March 2023.
