People


Principal Investigator


A portrait of Paul Bürkner.

Paul Bürkner


Background: Statistics, Mathematics, and Psychology

Position: Full Professor for Computational Statistics

University Website Email GitHub Google Scholar Twitter




PostDocs


A portrait of Daniel Habermann.

Daniel Habermann


Background: Computational Biology

Project: Amortized Bayesian Inference for Multilevel Models

Personal Website GitHub



A portrait of Šimon Kucharský.

Šimon Kucharský


Background: Computational Psychology

Project: Applications of Amortized Bayesian Inference

Personal Website GitHub




PhD Students


A portrait of Javier Aguilar.

Javier Aguilar


Background: Mathematics and Statistics

Project: Intuitive Joint Priors for Bayesian Multilevel Models

Personal Website GitHub



A portrait of Florence Bockting.

Florence Bockting


Background: Cognitive Science and Psychology

Project: Simulation-Based Prior Distributions for Bayesian Models

Personal Website GitHub



A portrait of Luna Fazio.

Luna Fazio


Background: Biology and Statistics

Project: Bayesian Distributional Latent Variable Models

GitHub



A portrait of Jacob Grytzka.

Jacob Grytzka


Background: Statistics

Project: Regularization in Generalized Linear and Additive Multilevel Models

Co-Supervisor: Andreas Groll

University Website



A portrait of Lars Kühmichel.

Lars Kühmichel


Background: Physics and Computer Science

Project: BayesFlow: Simulation Intelligence with Deep Learning

Co-Supervisor: Stefan Radev

GitHub



A portrait of Soham Mukherjee.

Soham Mukherjee


Background: Statistics

Project: Probabilistic Models for Single-Cell RNA Sequencing Data

Co-Supervisor: Manfred Claassen

University Website Linkedin



A portrait of Philipp Reiser.

Philipp Reiser


Background: Physics and Computer Science

Project: Data-Integrated Training of Surrogate Models for Uncertainty Quantification

Co-Supervisor: Anneli Guthke

University Website GitHub



A portrait of Marvin Schmitt.

Marvin Schmitt


Background: Psychology and Computer Science

Project: Meta-Uncertainty in Bayesian Model Comparison

Personal Website University Website GitHub



A portrait of Maximilian Scholz.

Maximilian Scholz


Background: Computer- and Software Engineering

Project: Machine Learning for Bayesian Model Building

Personal Website University Website GitHub




Alumni