Welcome
Hi. I'm Konstantin, a postdoctoral researcher supervised by Merle Behr at the University of Regensburg. My research revolves around graphical models and their use in high-dimensional statistics, in causal learning and in particular causal structure learning, and their intersection. I also like to write code and software packages accompanying my research.
Previously, I obtained my PhD in Mathematics at the chair of Mathematical Statistics at TUM. I am very fortunate to have been supervised by Mathias Drton and Tobias Windisch.
Recent Publications
Nonlinear Causal Discovery for Grouped Data
June 5, 2025
Inferring cause-effect relationships from observational data has gained significant attention in recent years, but most methods are limited to scalar random variables.
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
May 15, 2024
Graphical models are an important tool in exploring relationships between variables in complex, multivariate data. Methods for learning such graphical models are well-developed in the case where all variables are either continuous or discrete, including in high dimensions.