I am a computational cognitive scientist interested in understanding and improving decision-making and learning. My research translates advances in machine learning and artificial intelligence into computational models of cognitive mechanisms and vice versa. The theoretical foundation for this work is the cognitive modeling paradigm of resource rational analysis that I have developed during my Ph.D. in Tom Griffiths's Computational Cognitive Science lab at UC Berkeley. 

I have been leading the Rationality Enhancement Group at the MPI for Intelligent Systems in Tübingen since July 2018. Ongoing projects in the lab investigate how people discover cognitive strategies, how people plan, and how digital interventions and artificial intelligence can be leveraged to boost human learning and decision-making.