Thesis Topic: Deep learning architectures for amortized Bayesian inference in cognitive modeling
SMiP Dissertation Committee: Andreas Voss, Thorsten Meiser, Jeffrey Rouder
Degree: Dr. phil. (summa cum laude), received from the University of Heidelberg in May 2021