I am a postdoctoral researcher at the Research Center Trustworthy Data Science and Security working in the Causality group with Alexander Marx. I completed my doctoral degree in Statistics under the supervision of Paul Bürkner at TU Dortmund University. Previously, I was a research assistant at the Cluster of Excellence SimTech at the University of Stuttgart. I hold a Master’s degree in Probability and Statistics from the Center for Research in Mathematics (CIMAT) in Guanajuato, Mexico, where I was supervised by Andrés Christen.
My research focuses on Bayesian computation, prior specification, probabilistic programming, and high-dimensional statistics. I develop interpretable and problem-specific priors that define joint distributions on predictive quantities, offering new ways to control model complexity, improve uncertainty quantification, and enhance model validation through simulation-based techniques. My work has been published in Bayesian Analysis, Statistics and Computing, and the Electronic Journal of Statistics, and is also available as preprints on arXiv.
I teach and organize workshops on Bayesian data analysis, with a focus on probabilistic modeling tools such as brms, blavaan and Stan. These have been held at institutions such as Charité, Freie Universität Berlin, Humboldt University of Berlin, and the University of Bern. I also collaborate with applied researchers in the natural sciences, adapting and implementing Bayesian methods in real-world studies. Additionally, I offer statistical consulting for research projects requiring Bayesian modeling and data analysis.
Feel free to get in touch if you’d like to discuss ideas, potential projects, or just exchange perspectives on Bayesian methods.