Publications: 'Instrumental Variable Estimation of Distributional Causal Effects' (Electronic Journal of Statistics); 'Model-based causal feature selection for general response types' (Journal of the American Statistical Association); 'Algorithm-agnostic significance testing in supervised learning with multimodal data' (Briefings in Bioinformatics); 'Estimating Conditional Distributions with Neural Networks using R package deeptrafo' (Journal of Statistical Software). Serves as Associate Editor and Replication Editor for the Journal of Statistical Software and Associate Editor for Advances in Statistical Analysis. Received the Early-Career Presentation Award (Runner-up) at the International Workshop on Statistical Modelling.
Research Experience
Assistant Professor of Statistics at the Vienna University of Economics and Business; Postdoctoral Researcher in statistics and causal inference at the Copenhagen Causality Lab, collaborating with Niklas Pfister and Jonas Peters.
Education
PhD in Biostatistics from the University of Zurich, supervised by Beate Sick and Torsten Hothorn. PhD research focused on developing methods for distributional regression using deep learning and causal inference to improve treatment decisions for acute ischemic stroke patients.
Background
Research Interests: Intersection of distributional regression and causal inference, with a focus on biomedical applications. Professional Field: Statistics.