Javier Caballero is a Chief Statistician at the General Medical Council, where responsibilities include the application, design, development, and quality assurance of advanced algorithms for inference and prediction. With a strong research background, Javier served as an Honorary Research Associate at both the University of Sheffield and the University of Manchester, focusing on mathematical models related to decision-making and learning in the brain. Javier's academic tenure includes a postdoctoral position at the University of Pennsylvania, where significant contributions were made in studying the neural basis of decision-making. Previous roles encompass management and project leadership at Procter & Gamble and PROBIOMED S.A. de C.V., where Javier oversaw large-scale projects and regulatory compliance. Educational qualifications include a PhD in Computational Neuroscience from the University of Sheffield and a PGDipl in Applied Statistics.
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