I embarked on my PhD journey in November 2023 at the Helmholtz AI and the Technical University of Munich, where I am supervised by Dr. Vincent Fortuin. Before this, I completed my research Master’s in Artificial Intelligence at the University of Amsterdam as an ELLIS MSc Honours student.

My primary research goal is to develop intelligent, safe, and robust agents that are capable of (1) not only learning efficiently but also understanding what they do not know, and (2) adapting to changes in data distributions. My main interests encompass probabilistic modeling, deep learning, approximate inference, deep generative models, and information theory. I am also excited about ideas related to imbuing neural networks with inductive biases (e.g., invariance and equivariance) and causality.