معرفی
Belen Martin-Barragan is a Reader in Management Science at the University of Edinburgh Business School, with a focus on the Department of Management Science and Business Economics. Her research bridges Machine Learning and Mathematical Programming, emphasizing Explainable Artificial Intelligence (XAI) and applications in Operational Research, including classification, clustering, inventory management, and routing optimization.
Her work includes developing interpretable machine learning models for credit scoring, healthcare data, and sustainable logistics. She has led EPSRC-funded projects on Optimisation Models for Interpretable Analytics and contributed to journals like European Journal of Operational Research, Risk Analysis, and Computers and Operations Research. Key methodologies involve Mixed-Integer Linear Programming, Support Vector Machines, and stochastic dynamic programming.
Her research fingerprint spans Machine Learning (97%), Mathematical Programming (75%), and Optimization Algorithms (20%). She has been a Research Champion and Deputy Director of Research (Ethics and Integrity) at the Business School, with affiliations to the Credit Research Centre and Edinburgh Strategic Resilience Initiative.
