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Máté Lengyel is Professor of Computational Neuroscience at the Department of Engineering, University of Cambridge, and a Senior Research Fellow at the Department of Cognitive Science, Central European University. He obtained an MSc in Cell, Development and Neurobiology and a PhD in Behavioural Neuroscience at Eötvös Loránd University, Budapest, followed by a post-doctoral research fellowship at the Gatsby Computational Neuroscience Unit, UCL, and a visiting research fellowship at the Collegium Budapest Institute for Advanced Study. His interests span a broad range of levels of nervous system organisation, from sub-cellular and cellular through circuit and systems to behaviour and cognition. He studies these phenomena from computational, algorithmic/representational and neurobiological viewpoints. Computationally and algorithmically, he uses ideas from Bayesian approaches to statistical inference and reinforcement learning to characterise the goals and mechanisms of learning in terms of normative principles and behavioural results. He performs dynamical systems analyses of reduced biophysical models to understand the mapping of these mechanisms into cellular and network models.