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Ricardo Silva is a Professor in Statistical Machine Learning and Data Science at University College London (UCL). He holds a PhD from the newly formed Machine Learning Department at Carnegie Mellon University, completed in 2005. Before joining UCL, Ricardo spent years at the Gatsby Computational Neuroscience Unit as a Senior Research Fellow, as well as a year as a postdoctoral researcher at the Statistical Laboratory in Cambridge. His research interests encompass various facets of machine learning including causality, graphical models, Bayesian inference, and relational inference. He has contributed significantly to the field, with publications in prestigious venues such as the Advances in Neural Information Processing Systems and the Journal of Machine Learning Research. Ricardo's background combines rigorous statistical analysis with practical applications, making him a key figure in developing machine learning methodologies that address real-world problems.