OSCR Member: Ana Martinovici
Description
I have a strong interest in methods that facilitate high quality research: reproducible, replicable, relevant, and communicated in a clear and responsible manner also to non-scientific audiences. In terms of substantive interests, my research focuses on dynamic aspects of consumer decision making, more specifically on how preferences evolve over time until a final choice is expressed. In order to gain access to these latent processes, I am using dynamic Bayesian models calibrated on eye-tracking data, building on research in neuroeconomics that supports a strong link between attention and decision making. These models combine features of machine learning, multilevel latent growth, and choice models to infer the build-up of preferences from changes in attention. The aim is to understand how consumers make decisions, and to be able to predict future choices before they are implemented.
CV and Contact Info
Click on the picture to send an email. The icons on the right redirect to the CV and social media pages.