Her research builds bridges between economic theory and human behavior, structuring bounded rationality and economic situations through pattern recognition, experimental designs, and cognitive models using game-theoretic, laboratory and field experiments, and neuroscientific tools. She links behavioral data with brain activity gained with functional magnetic resonance imaging (fMRI) or eye-tracking data co-working with cognitive scientists, neuroscientists, biologists, and psychologists. Furthermore, with experimental economists and macro theorists, and recently also  with computational economists, she organizes summer schools, workshops, and research using experimental tools to tackle macro and computational economic questions.  Her approaches are applied in micro and macroeconomics, finance, neuroeconomics, management, psychology, and computer science.