I am interested in understanding how people learn to make decisions under uncertainty and how to design artificial intelligence (AI) systems that effectively support human decision-making processes and are helpful for humans to collaborate with when making joint decisions.
My research combines approaches from psychology, cognitive science, and computer science for the design of automated decision support systems while also using insights from human cognition and advances in machine learning as tools to uncover the computational principles behind human learning and decision-making behavior.
A full list of my publications is available on Google Scholar and DBLP.