Lucas Kook

Welcome to my academic personal website!

I am currently a postdoctoral researcher in statistics and causal inference at the Copenhagen Causality Lab. Together with Niklas Pfister and Jonas Peters, I work at the intersection of distributional regression and causal inference with a focus on biomedical applications. Recently, I finished my PhD at the University of Zurich under the supervision of Beate Sick and Torsten Hothorn. My PhD research focused on combining distributional regression models with deep learning approaches and causal inference to improve treatment decisions for acute ischemic stroke patients.

News

• I acquired a postdoctoral mobility grant from the Swiss National Science Foundation. During the first year of the fellowship, I will be working with Niklas Pfister and Jonas Peters at the University of Copenhagen, starting March 2023.

• I succesfully defended my PhD thesis titled “Deep Learning and Causal Inference with Transformation Models” on February 8, 2023.

• New preprint: “Estimating Conditional Distributions with Neural Networks using R package deeptrafo” with software available on CRAN