I am a doctoral researcher and research assistant at TU Dortmund University, working with Paul Bürkner. 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 and the use of brms, an R package for Bayesian regression modeling in Stan. These have been held at institutions such as Charité, Freie Universität Berlin, and Humboldt University of Berlin. I also collaborate with applied researchers in biostatistics and the natural sciences, adapting and implementing these methods in real-world studies.
I am currently open to postdoctoral opportunities and collaborations that connect Bayesian methodology, computation, and applied research.
Feel free to get in touch if you’d like to discuss ideas, potential projects, or just exchange perspectives on Bayesian methods.