My research employs computational models to uncover the fundamental principles behind human cognition. I believe that for a more complete understanding of human cognition, we must consider the human mind as a whole. My current research goal is therefore to establish foundation models of human cognition – models that cannot only simulate, predict, and explain human behavior in a single domain but those that offer a unified take on our mind. To accomplish this, I use tools such as neural networks, Bayesian inference, meta-learning, information theory, and large language models.