Profile

Gilberto Montibeller

Loughborough University

Contact Details

Loughborough University

Bio

Gilberto Montibeller is a Professor of Management Science at Loughborough University, and a member of its Management Science and Operations Group, one of the leading teams worldwide focused on Behavioural Operations Research. He has been on the faculties of the London School of Economics, Kingston Business School, and the Federal University of Santa Catarina (Brazil) before joining Loughborough University in 2015. He is an expert on strategic decision and risk analysis. His main research interests are on the links between behavioural decision research and decision analytic modelling and on the formal conceptualisation of decision aiding practices. Dr Montibeller is area editor of the Journal of Multi-Criteria Decision Analysis and is on the editorial boards of the Informs Decision Analysis and European Journal of Decision Processes journals. He has published widely in key journals in the field, such as Risk Analysis, the European Journal of Operational Research, Decision Support Systems, Technological Forecasting & Social Change, among others. He has held visiting scholar positions at the Massachusetts Institute of Technology (MIT), the International Institute for Applied Systems Analysis (IIASA, Austria), the University of Southern California, and at CNRS Lamsade (Paris Dauphine University, France). He is presently a visiting professor at and at the University of São Paulo (Brazil). As a decision scientist, Dr Montibeller has more than twenty years of experience in conducting decision analytic projects with private and public organisations, in Continental Europe, Britain, and South America. Partner organisations include Defra, UK National Audit Office, World Health Organisation (WHO), Food and Agriculture Organization of the United Nations (FAO), Babcock International, among others. Two of his main areas of applications are resource allocation against emerging threats, particularly health and terrorist ones, and multi-criteria health prioritisations.