Alberto Morando is a Postdoctoral Associate at the MIT AgeLab.
His research focuses on the safety implications of vehicle technologies on driver behavior and performance. The aim of his research is to develop design knowledge to ensure safe driving. His research interests include driver behavior modeling and Bayesian data analysis. He specializes in driver visual and motor response modeling based on naturalistic, real-world driving data.
He holds a BSc in Mechanical Engineering from University of Padova (Italy), an MSc in Mechatronics Engineering from University of Trento (Italy), and a PhD in Machine and Vehicle Systems from Chalmers University of Technology (Sweden). During his doctoral studies, he was a Marie Curie fellow in the Human Factors of Automated Driving (HFAuto) project and part of the Quantitative Driver Behavior Modelling for Active Safety Assessment Expansion (QUADRAE) project.