Raquel Flórez-López is a Research visitor at Southampton Business School at the University of Southampton. She was appointed as an associate professor in Accounting and Finance at Pablo Olavide University of Seville (Spain) in August 2009. Previously she was employed as a researcher and lecturer at the University of Leon (Spain), where she obtained the degree of Doctor in Management and Finance (honors). She is a Member of the European Accounting Association, Spanish Association of Accounting and Management, Spanish Association of Accounting Professors, and Management Control Association. Her dissertation on ‘Applying emergent techniques for credit risk management facing Basel II and Solvency II’ was awarded the 2007 Spanish Institute of Accounting and Auditing and Spanish Association of Accounting Professors Prize for outstanding the best Spanish dissertation in accounting and finance. She is also a member of the Editorial Board of Technological Information (Informacion Tecnologica). Her research focuses on applying statistical methods (e.g., bootstrapping, bayesian models, MCMC) and Machine Learning models (ANN, SVM, fuzzy rules, decision trees, hybrid models) for business and risk management.
Raquel Flórez-López is a Research visitor at Southampton Business School at the University of Southampton. She was appointed as an associate professor in Accounting and Finance at Pablo Olavide University of Seville (Spain) in August 2009. Previously she was employed as a researcher and lecturer at the University of Leon (Spain), where she obtained the degree of Doctor in Management and Finance (honors). She is a Member of the European Accounting Association, Spanish Association of Accounting and Management, Spanish Association of Accounting Professors, and Management Control Association. Her dissertation on ‘Applying emergent techniques for credit risk management facing Basel II and Solvency II’ was awarded the 2007 Spanish Institute of Accounting and Auditing and Spanish Association of Accounting Professors Prize for outstanding the best Spanish dissertation in accounting and finance. She is also a member of the Editorial Board of Technological Information (Informacion Tecnologica). Her research focuses on applying statistical methods (e.g., bootstrapping, bayesian models, MCMC) and Machine Learning models (ANN, SVM, fuzzy rules, decision trees, hybrid models) for business and risk management.