I am a neuroeconomist with a background in both the social sciences and neuroscience. My research combines tools from psychology, neuroscience and economics to investigate the mechanisms behind decision-making. We are a very interdisciplinary lab and are interested both in using economic tasks and theory to better understand cognitive neuroscience, and in using models and measures from cognitive neuroscience to do better economics. Specific examples of research topics in the lab include:
- using eye-tracking to study the relationship between what people look at and what they choose
- using functional magnetic resonance imaging (fMRI) to see how the brain assigns value to different items and makes choices between them
- using computational models like the drift-diffusion model (DDM) to predict peoples' behavior in different tasks
- using brain stimulation techniques like transcranial direct current stimulation (tDCS) to influence how the brain makes decisions
- using brain-damaged and psychiatric patients to understand abnormalities in decision-making
- using fMRI data combined with machine learning techniques to predict mental states and improve economic institutions
Ian obtained his B.Sc. in Physics and Business Economics at Caltech, then stayed at Caltech do his M.Sc. in Social Sciences and Ph.D. in Behavioral and Social Neuroscience with Antonio Rangel, Colin Camerer, Ralph Adolphs and John Ledyard. He was then a Postdoc for one year with Antonio Rangel and Colin Camerer, followed by two years with Ernst Fehr at the University of Zurich.